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Bagus Sartono
Departmen Statistika Institut Pertanian Bogor Gedung IPB Dramaga, Jl. Meranti Wing 22 Lantai 2 Kampus IPB Darmaga Bogor (16680) Indonesia Phone: +62-811-118-508
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KOMPETISI ANTAR TERMINAL PETI KEMAS STUDI KASUS PELABUHAN TANJUNG PRIOK Toufiq Al Amin; Luky Adrianto; Bagus Sartono; Deni Achmad Soeboer
ALBACORE Jurnal Penelitian Perikanan Laut Vol. 2 No. 1 (2018): Albacore
Publisher : Departemen PSP IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (165.299 KB) | DOI: 10.29244/core.2.1.43-56

Abstract

Artikel ini menginvestigasi kompetisi antar terminal peti kemas di Pelabuhan Tanjung Priok. Tujuan utama artikel ini adalah untuk dapat melihat kondisi persaingan antar terminal peti kemas dan perilaku terminal peti kemas dan perusahaan pelayaran dalam pengambilan keputusan penentuan terminal. Analisa empirik digunakan terhadap hasil survey kuisioner kepada perusahaan pelayaran berdasarkan faktor-faktor yang mempengaruhi penentuan pilihan penggunaan jasa terminal peti kemas. Pengujian ANOVA digunakan untuk menguji penilaian yang diberikan oleh responden, diasumsikan efisiensi waktu, kehandalan layanan, administrasi, operasional dan komersil merupakan kategori faktor-faktor yang membentuk penilaian performa terminal peti kemas, sedangkan perbandingan penilaian responden terhadap satu terminal peti kemas dengan terminal peti kemas yang lain dilakukan dengan pengujian Wilcoxon Signed Rank Test. Selanjutnya, analisa biaya digunakan untuk mendapatkan model dasar dari pemilihan terminal peti kemas oleh perusahaan pelayaran di Pelabuhan Tanjung Priok melalui pemodelan matematis yang terdiri dari 2 komponen utama, yaitu waktu pelayanan dan  performa terminal/layanan tambahan terminal. Secara keseluruhan, artikel ini dapat membantu analisis lanjutan tentang peningkatan kemampuan terminal peti kemas dan memungkinkan terminal untuk mengetahui dan menyeimbangkan tingkat permintaan dan kapasitasnya sehingga dapat digunakan untuk menyusun strategi jangka panjang. Artikel ini juga dapat memberikan pengetahuan yang lebih baik terhadap kriteria perusahaan pelayaran saat memilih terminal peti kemas.Kata kunci: Kompetisi antar terminal peti kemas, Pelabuhan Tanjung Priok, teori permainan non kooperatif, kapasitas terminal peti kemas, tarif terminal peti kemas.
PERAMALAN INDEKS TARIF ANGKUTAN PELAYARAN CURAH KERING Anton Ferdiansyah; Luky Adrianto; Bagus Sartono; Deni Achmad Soeboer
ALBACORE Jurnal Penelitian Perikanan Laut Vol. 2 No. 1 (2018): Albacore
Publisher : Departemen PSP IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (363.105 KB) | DOI: 10.29244/core.2.1.93-105

Abstract

Volatilitas dan risiko tinggi merupakan ciri khas dari pasar tarif pelayaran curah kering. Ditenggarai hal ini dikarenakan banyaknya ketidakpastian yang mempengaruhinya, mulai dari kondisi ekonomi dunia, guncangan politik, kemajuan teknologi, hingga sensitivitas terhadap sentimen pasar. Banyak akademisi yang memberikan perhatian dan berusaha untuk memahami fenomena ini. Beberapa kajian telah ditulis dan salah satunya adalah mengenai hubungan peramalan sebagai alat yang bisa mengurangi risiko ketidakpastian. Oleh karena itu makalah ini mencoba untuk meramalkan indeks tarif angkutan pelayaran curah kering (BDI) dengan menggunakan pendekatan ekonometrik berdasarkan data pada pasar tarif angkutan curah kering selama periode 1991 sampai 2016.  Penelitian ini diawali dengan menjelaskan karakteristik dan gambaran umum dari pasar tarif curah kering dan faktor penentu yang mempengaruhi permintaan dan penawaran pasar juga diidentifikasi dan dianalisa. Variabel yang signifikan diperoleh melalui tinjauan literatur, dan juga beberapa model ekonomi dari penelitian terdahulu juga dipelajari, sehingga berdasarkan pada hal-hal tersebut pondasi dari permodelan dapat dilakukan. Indikator ekonomi yang ditunjukkan oleh GDP dunia digunakan untuk memprediksi volume perdagangan curah kering melalui laut, bersama rerata jarak, kedua variabel tersebut terpilih sebagai faktor penentu dari dari sisi permintaan. Sementara armada kapal curah kering dan harga bahan bakar dijadikan faktor penentu dari sisi penawaran. Regresi Linier dipergunakan untuk membuat model ekonometrik guna meramalkan tingkat harga di pasar tarif ke depannya. Dari peramalan menunjukkan jika pertumbuhan armada kapal tetap mengikuti tren yang ada, maka indeks tarif angkutan curah kering akan sulit naik dan kembali ke titik normalnya.Kata kunci: Baltic Dry Index (BDI), Model Ekonometrik, Pasar Tarif Angkutan Curah Kering, Peramalan tarif angkutan pelayaran, dan Permintaan Penawaran Pelayaran.
Proposing a Zakat Empowerment Program Using IDZ: Case from Cemplang Village, Bogor, Indonesia Khairunnajah Khairunnajah; Irfan Syauqi Beik; Bagus Sartono
International Journal of Zakat Vol 4 No 1 (2019)
Publisher : Center of Strategic Studies (PUSKAS) BAZNAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (252.232 KB) | DOI: 10.37706/ijaz.v4i1.139

Abstract

Zakat has enormous potential for the development of a nation. Recently, The Ministry of Village, Development of Disadvantaged Areas and Transmigration targets to eradicate 5000 poor villages. However, the current number of underdeveloped villages is still high. For this, the empowerment program of BAZNAS can integrate with the local government to participate in the development of backward regions. Zakat Community Development is one of BAZNAS subsidiary aiming at community development. This study engages the index of zakat village (IDZ) to investigate the feasibility of Cemplang village in getting assisted by BAZNAS empowerment programs. This study finds that the Village is considered to get supported by zakat funds. Keywords: zakat, community development, empowerment, IDZ
The Spatial Effect of Agricultural Sector Growth in West Java: A Spatial Approach to Panel Data Adi Hadianto; Harianto Harianto; Bonar Marulitua Sinaga; Bagus Sartono
Jurnal Ilmu Pertanian Indonesia Vol. 27 No. 3 (2022): Jurnal Ilmu Pertanian Indonesia
Publisher : Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18343/jipi.27.3.332

Abstract

The agricultural sector is strategic and the third-largest contributor to the GRDP of West Java Province, but its growth has slowed during the 2016–2019 period. The slow growth rate can be caused by the determinants of the growth of the agricultural sector itself and is very likely to be affected by the spatial interaction between regions in the province. Therefore, this study aims to analyze the spatial effect between regions on the growth of the agricultural sector in West Java and identify the factors that influence the growth of the agricultural sector within the province by using spatial analysis of panel data. The results reveal that the appropriate model is a fixed effect spatial error model, which shows an effect of spatial interaction between regions on the growth of the agricultural sector in West Java Province. The factors that affect the growth of the agricultural sector are agricultural credit, agricultural road infrastructure, and diversification of economic activities. Keywords: agricultural sector growth, spatial autoregressive, spatial error model, spatial panel data
EXTRA TREES METHOD FOR STOCK PRICE FORECASTING WITH ROLLING ORIGIN ACCURACY EVALUATION Dani Al Mahkya; Khairil Anwar Notodiputro; Bagus Sartono
MEDIA STATISTIKA Vol 15, No 1 (2022): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/medstat.15.1.36-47

Abstract

Stock is an investment instrument that has risk in its management. One effort to minimize this risk is to model and make further forecasts of stock price movements. Time series data forecasting with autoregressive models is often found in several cases with the most popular approach being the ARIMA model. The tree-based method is one of the algorithms that can be used to forecast both in classification and regression. One ensemble approach to tree-based methods is Extra Trees. This study aims to forecast using the Extra Trees algorithm by evaluating forecasting accuracy with Rolling Forecast Origin on BRMS stock price data. Based on the results obtained, it is known that Extra Trees produces a fairly good accuracy for forecasting up to 6 days after training data with a MAPE of less than 0.1%.
Regional Tourism Development in Nusa Tenggara Barat: Maximizing Local Economic Development Deri Siswara; Dessy Rotua Natalina Siahaan; Anwar Fitrianto; Bagus Sartono; Sachnaz Desta Oktarina
EcceS (Economics, Social, and Development Studies) Vol 9 No 2 (2022): December
Publisher : Fakultas Ekonomi dan Bisnis Islam UIN Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/ecc.v9i2.32194

Abstract

The diversity of each region causes different potentials in each region. The potential of the village can map how rich the area is, the advantages of the area, and the population and welfare. Tourism is one of them; this sector is potential for the area because it can lift its economy if it is adequately managed. Good management is born from the policies/regulations of the local government. Nusa Tenggara Barat is a province with many tourist attractions. However, from an economic and socio-cultural perspective, Nusa Tenggara Barat has yet to be able to compete with other major provinces in Indonesia, such as the Special Region of Yogyakarta (DIY). The 2018 Village Potential Data by BPS can assist the government in compiling efforts for the village's progress. In the process of data processing, especially big data, in-depth exploration is needed to produce meaningful insight. Clustering is one of the exploration techniques that can map areas in Nusa Tenggara Barat based on the tourism potential in each village. K-Prototypes are used in cases with mixed variables (numeric and categorical). Determination of the best number of clusters is using the silhouette index. It produced 5 clusters with their respective diversity. There are five clusters in Nusa Tenggara Barat by the villages based on tourism aspects and factors that support tourism. Cluster 3 is an ideal cluster, meaning tourism development in that cluster is complete. Cluster 5 has considerable potential in tourism because the supporting factors are analytically good. There are villages dispersed across Sumbawa Barat, Sumbawa, Lombok Tengah, Lombok Barat, Dompu, and Bima that are part of cluster 1. In Sumbawa Barat and Lombok Tengah, cluster 1 predominates numbers. The settlements in cluster 2 are then more prevalent in Sumbawa and Bima. Furthermore, Sumbawa, Dompu, and Bima have the highest concentrations of cluster 4. Unlike clusters 3 and 5, special attention should be paid to clusters 1, 2, and 4 in tourism development. Implications of this research are the government could take toward each cluster to increase the GDP-oriented service product, namely tourism; whether it is an improvement or reconstruction, clustering analysis works its role in learning the data to make the policy more focused.
Analysis of the Effectiveness of Flash Floods Disaster Mitigation in Java Island Alfa Nugraha Pradana; Annissa Nur Fitria Fathina; Anwar Fitrianto; Bagus Sartono; Sachnaz Desta Oktarina
Sriwijaya Journal of Environment Vol 7, No 2 (2022): ENVIRONMENTAL CARE AND PROTECTION
Publisher : Program Pascasarjana Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22135/sje.2022.7.2.91-99

Abstract

Flash flood is one of the natural disasters that currently happens a lot in Indonesia. Java Island is one of the largest archipelagoes in Indonesia and has the highest incidence of flash floods. Several efforts were conducted to anticipate and mitigate flash floods in Java Island, including an early warning system, preparing safety equipment, building evacuation route signs, and monitoring watersheds. Through the dataset of Village Potential 2018, this study aims to explore the effectiveness of flash flood mitigation in Java Island using the R programming language. The stages of research carried out in this study are data preprocessing, including selecting, recoding the variables, exploratory univariate, bivariate, and multivariate data analysis. The results showed that the fatalities of flash floods often occurred in areas with plains surface, especially in West Java and East Java, followed by the topography of Central Java on the hills and the valleys in Banten. In addition, the most effective disaster mitigation established in Java Island is safety equipment and the construction of evacuation route signs compared to other disaster anticipation efforts.
Identifying Characteristics of Households Recipient of the Government’s Social Protection Program Nofrida Elly Zendrato; Bagus Sartono; Utami Dyah Syafitri
Indonesian Journal of Artificial Intelligence and Data Mining Vol 5, No 1 (2022): March 2022
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v5i1.18579

Abstract

According to Statistics Indonesia, the number of poor people increased by 1,12 million people in March 2020. In March 2021, the percentage of poor people increased by 0,36 points compared to March 2020. The percentage of poor people in Banten Province has increased in the last three years (2019-2021). One way to reduce poverty by the government is to increase social protection programs. The characteristics of households receiving social protection programs were identified by modeling the classification of households using the random forest technique, obtaining important variables using the permutation feature importance and Shapley additive explanations interpretation techniques, and analyzing the most important variables from the two interpretations methods. Handling the imbalance data on the response variables using SMOTE technique and evaluating the classification model obtained an AUC value of 0,718. The important variables were selected from the permutation feature importance and Shapley additive explanation methods based on a consistent ranking at the top. Shapley’s additive explanation was more consistent than permutation feature importance. Six important, namely capita expenditure, education of the head of household, age of head of household, source of drinking water, floor area, and the number of household members.
Penggerombolan Desa di Jawa Barat Berdasarkan Daerah Rawan Bencana Defri Ramadhan Ismana; Seta Baehera; Anwar Fitrianto; Bagus Sartono; Sachnaz Desta Oktarina
Jurnal Statistika dan Aplikasinya Vol 6 No 2 (2022): Jurnal Statistika dan Aplikasinya
Publisher : Program Studi Statistika FMIPA UNJ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JSA.06210

Abstract

Indonesia is one of the countries that has a large potential for natural disasters. Indonesia's position at the confluence of 4 continental plates makes the potential for earthquakes even greater. The tropical climate with 2 seasons makes changes in weather, temperature and wind direction quite extreme. These climatic conditions combined with the relatively diverse surface and rock topography conditions, these conditions can cause several bad consequences for the community such as hydrometeorological disasters such as floods, landslides, forest fires, and droughts. Particularly in West Java province, natural disasters that have occurred include: landslides, droughts, cyclones/typhoons, tidal waves, fires, volcanic eruptions, tsunamis, and other disasters. The purpose of this study was to cluster villages in the West Java region based on the level of disaster-prone in 2018. The research was carried out using K-Prototypes clustering and testing evaluation using the silhouette coefficient. The results showed that the optimal number of clusters in this study was nine clusters. These clusters can be distinguished based on the disaster category and the characteristics of the area.
Analisis Karakteristik Keberadaan Perbankan di Nusa Tenggara Barat Terhadap Kondisi Perekonomian Daerah Menggunakan K-Means Clustering Anisa Nurizki; Muhammad Irfan Hanifiandi Kurnia; Anwar Fitrianto; Bagus Sartono; Sachnaz Desta Oktarina; Dian Handayani
Jurnal Statistika dan Aplikasinya Vol 6 No 2 (2022): Jurnal Statistika dan Aplikasinya
Publisher : Program Studi Statistika FMIPA UNJ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JSA.06211

Abstract

In certain areas, there are still many people who have to travel long distances to access some banks. Difficult mobility is considered to hinder business activities. The West Nusa Tenggara (NTB) Province is one of the favorite travel destinations for some foreigner tourists as well as domestic tourists because of its natural beauty and cultural diversity. the existence of some banks in the NTB Province , is important to facilitate the circulation of money. For this reason, this study aims to analyze the existence of some banks in the NTB Province and the condition of mobility in accessing themto regional economic conditions by applying K-Means clustering. Our results show that there are two clusters, , where the cluster 2 is an urban area and a tourist area. It has charactersitic has a GDP greater than cluster 1.
Co-Authors -, Salsabila Aam Alamudi Abdul Aziz Nurussadad Abidin, Muhammad Ilham Abyan, Muhammad Fatih Achmad Fauzan Achsani, Noer Azham Adi Hadianto Adinna Astrianti Afendi, Farit M Agus M Soleh Agus M Soleh Agus M. Sholeh Agus Mohamad Soleh Agusta, Madania Tetiani Agwil, Winalia Aji Hamim Wigena Akbar Rizki Akbar Rizki Alfa Nugraha Pradana Alfian Futuhul Hadi Alifviansyah, Kevin Alona Dwinata Alwinie, Ade Agusti Amanda, Nabila Tri Amatullah, Fida Fariha Amin, Toufiq Al Amir Abduljabbar Dalimunthe Ananda, Frisca Rizki Anang Kurnia Andi Susanto Andrie Agustino Anggraini Sukmawati Anggraini Sukmawati Ani Safitri Anik Djuraidah Anisa Nurizki Anisa, Rahma Annisa Permata Sari, Annisa Permata Annissa Nur Fitria Fathina Anton Ferdiansyah Anwar Fajar Rizki Ardhani, Rizky Ardiansyah, Muhlis Arie Wahyu Wijayanto Arief Daryanto Arief Daryanto Arief Gusnanto Aris Yaman Aris Yaman Aristawidya, Rafika Aruddy Aruddy Aryasa, Komang Budi Asep Rusyana ASEP SAEFUDDIN Asfar Asrirawan, Asrirawan Audina, Delia Fitri Aulia Rizki Firdawanti Aunuddin Aunuddin Auzi Asfarian Ayu Sofia Azlam Nas Bagus Randhyartha Gumilar Bariq, Muhammad Shidqi Abdul Barokaturrizkia Ameliani Bayu Indrayana Bayu Pranata, Bayu Bayu Suseno Beny Mulyana Sukandar Billy Bimandra Adiputra Djaafara Bonar Marulitua Sinaga Budi Susetyo Budi Susetyo Bukhari, Ari Shobri Cahya, Septa Dwi Carlya Agmis Aimandiga Cici Suhaeni Cici Suhaeni Cici Suhaeni Cintari, Nanda Putri Citra, Reza Felix Dani Al Mahkya Darwis Darwis Dede Dirgahayu Dede Dirgahayu Defri Ramadhan Ismana Deiby T Salaki Deni Achmad Soeboer Deri Siswara Desi Prabandari Kusuma Ningtyas Dessy Rotua Natalina Siahaan Dewi Margareth Lumbantoruan Dhanu Dhanu Saptowulan Dian Ayuningtyas Dian Handayani Dian Kusumaningrum Dito, Gerry Alfa Dwi Agustin Nuriani Sirodj Dwi Fitrianti Dwi Wahyu Triscowati Dyah Setyo Rini Eko Ruddy Cahyadi Embay Rohaeti Endriani, Desy Erfiani Erfiani Erira, Salsa Rifda Erliza Noor Erwan Setiawan, Erwan Etis Sunandi EVI RAMADHANI Evita Purnaningrum Fachry Abda El Rahman Fadhila Hijryani FAHREZAL ZUBEDI Farit M. Afendi Farit Mochamad Afendi Fauzi, Fatkhurokhman Fauziah, Nadira Aribah Ferdiansyah, Anton Ferdiansyah, Anton Fitri Mudia Sari Fitrianto, Anwar Frisca Rizki Ananda Galih Hedy Saputra Gerry Alfa Dito Ghiffary, Ghardapaty Ghaly Ginting, Victor Gumilar, Bagus Randhyartha Gustiara, Dela Hanum Rachmawati Nur Hari Wijayanto Hari Yanni, Meri Harianto Harianto Hartoyo Hartoyo Hartoyo Hazan Azhari Zainuddin Hendri Wijaya Hendria, Muhammad Herlin Fransiska Herlina Herlina Herlina Herlina Hidayat, Agus Sofian Eka Hidayat, Muhammad Hilman Dwi Anggana I Gusti Ngurah Sentana Putra I Made Sumertajaya I Wayan Mangku Idqan Fahmi IJSA, Indonesian Journal of Statistics and Its Applications Ilma, Hafizah Ilma, Meisyatul Ilmani, Erdanisa Aghnia Iman, Mutiara Nurul INA YATUL ULYA Indahwati Indonesian Journal of Statistics and Its Applications IJSA Intan Arassah, Fradha Irene Muflikh Nadhiroh Irfan Syauqi Beik Ismah, Ismah Isnaini, Mardatunnisa Ita Wulandari Itasia Dina Sulvianti Iwan Kurniawan Jaelani, Raditya Kamila, Sabrina Adnin Khairil Anwar Notodiputro Khairunnajah Khairunnajah Khairunnisa, Adlina Kharismatul Zaenab Akhilla Khikmah, Khusnia Nurul Kudang Boro Seminar Kusman Sadik Kusnaeni Kusnaeni, Kusnaeni Kusuma Ningtyas, Desi Prabandari La Surimi, La Laode Ahmad Sabil Leni Anggraini Susanti Lilik Noor Yuliati Linda Karlina Sari Lisa Amelia Luky Adrianto Lukytawati Anggraeni M. Yunus Magfirrah, Indah Matualage, Dariani Mega Ramatika Putri Megawati - Megawati Simanjuntak Meylisah, Eni Mohamad Agus Setiawan Muhadi, Rizqi Annafi Muhammad Hendria Muhammad Ilham Abidin Muhammad Irfan Hanifiandi Kurnia Muhammad Nur Aidi Muhammad Subianto Muhammad Syafiq Muhammad Yusran Mukhamad Najib Murpraptomo, Saka Haditya MY, Hadyanti Utami Nimmi Zulbainarni Nisa Nur Aisyah Nofrida Elly Zendrato Novian Tamara Nugraha, Adhiyatma Nur Aulia NUR HASANAH NURADILLA, SITI Nurfadilah, Khalilah nurrusydah, zaima Oktaviani, Rina Pardomuan Robinson Sihombing Parwati Sofan, Parwati Pika Silvianti Popong Nurhayati Pratiwi, Windy Ayu Purwanto, Arie Puspita, Novi Qalbi, Asyifah Rachma Fitriati Rahardi, Naufal Rahardiantoro, Septian Rahma Anisa Rahma Dany Asyifa Rahman, Gusti Arviana Rahmatulloh, Febriandi Rais Rakhmalia, Riza Indriani Rere Kautsar Resiloy, Unique Desyrre A. Rhendy K P Widiyanto Riantika, Ines Rina Oktaviani Riska Yulianti, Riska Riza Indriani Rakhmalia Rizal Bakri Rizka Rahmaida Rizqi, Tasya Anisah ROCHYATI ROCHYATI Roy Sembel Rupmana Br Butar Sachnaz Desta Oktarina salsa bila Saptowulan Saputra, Galih Hedy Sarah Putri Sari, Jefita Resti Sentana Putra, I Gusti Ngurah Seta Baehera Setiabudi, Nur Andi Setiadi Djohar Setyowati, Silfiana Lis Shafa, Shalshabilla Sholeh, Agus M. Siregar, Indra Rivaldi Siskarossa Ika Oktora Siti Aisyah Sri Amaliya Suantari, Ni Gusti Ayu Putu Puteri Suhaeni, Cici Suhaeri, ⁠Bulan Cahyani Sukarna Sukarna Sunan, Muh. Suprayogi, Muhammad Azis Susanto, Andi Suseno Bayu Syam, Ummul Auliyah Syarip, Dodi Irawan Syella Zignora Limba Totong Martono Toufiq Al Amin Toufiq Al Amin Triscowati, Dwi Wahyu Tsabitah, Dhiya Ulayya Tsaqif, Denanda Aufadlan Ujang Sumarwan Ulfa, Yopi Ariesia Ulfia, Ratu Risha Utami Dyah Syafitri Valentika, Nina Vera Maya Santi Virgie, Meriza Immanuela Wahida Ainun Mumtaza Wahyudi Setyo Wahyuni, Silvia Tri Waliulu, Megawati Zein Wawan Saputra Yani Prihantini Hiola Yanuari, Eka Dicky Darmawan Yenni Angraini Yoga Primanda Yopi Ariesia Ulfa Yudhianto, Rachmat Bintang Yuliani, Leny Zahra, Latifah Zaima Nurrusydah Zulhijrah Zulmi, Muhammad Indra