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Wakatobi Development Priorities as A Sustainable Tourism Destination Using the Analytical Hierarchy Process Method Putu Edi Dimas Saputra; I Gusti Ayu Made Srinadi; Made Susilawati; I Putu Eka Nila Kencana; Made Ayu Dwi Octavanny; G. K. Gandhiadi
International Journal of Educational Research Vol. 1 No. 3 (2024): September : International Journal of Educational Research
Publisher : Asosiasi Riset Ilmu Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijer.v1i3.46

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Wakatobi is one of the tourist destinations renowned for its underwater beauty, holding great potential to be developed as a sustainable tourism destination. This research aims to determine the priorities for sustainable tourism development in Wakatobi using the Analytical Hierarchy Process (AHP) method. The AHP method is employed to identify and prioritize various criteria and sub-criteria contributing to sustainable tourism development. Based on the research findings, infrastructure and facilities were found to be the highest priorities, with a focus on improving transportation infrastructure and public facilities. These findings indicate that the development of transportation infrastructure and public facilities is crucial to support the sustainability of tourism in Wakatobi.
PERAMALAN FAKTOR-FAKTOR PEREKONOMIAN YANG MEMENGARUHI NILAI EKSPOR MINYAK KELAPA SAWIT INDONESIA MENGGUNAKAN VECM Ni Putu Manik Maharani; I Wayan Sumarjaya; I Gusti Ayu Made Srinadi
Jurnal Cahaya Mandalika ISSN 2721-4796 (online) Vol. 5 No. 1 (2024)
Publisher : Institut Penelitian Dan Pengambangan Mandalika Indonesia (IP2MI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/jcm.v5i1.2881

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Abstract: Forecasting is predicting future events. The forecasting process involves the use of time series data. Time series models that are often used for forecasting are vector autoregressive (VAR) models and vector error correction models (VECM). The aim of this research is to determine the model and forecasting results on Indonesian palm oil production, CPO prices on the international market, inflation, money supply, USD exchange rate, and the value of Indonesian palm oil exports. The data used comes from BPS, BI, and Index Mundi, covering the period January 2017 to December 2021. Based on the optimum lag of the VECM model, the research results show that the VECM(1) ​​model is suitable for use. In parameter estimation, there is a long-term relationship between the Indonesian palm oil export value variable and the other five variables, and there is a short-term relationship between the observed variables. The average monthly forecasting results for Indonesian palm oil production is 4.211.539 tons, the price of CPO on the international market is 2.583,96 USD/metric ton, inflation is 0,1365938333 percent, the M1 money supply is 3.051.982 billion rupiah, the USD exchange rate is 14.115,48 rupiah and the export value of Indonesian palm oil is 4.641.307 thousand US dollars. Keywords: Forecasting, VECM, Economic Factors, CPO. Abstrak: Peramalan adalah memprediksi peristiwa pada masa depan. Proses peramalan melibatkan penggunaan data deret waktu (time series). Model deret waktu yang sering digunakan untuk peramalan adalah model vector autoregressive (VAR) dan vector error correction model (VECM). Tujuan dari penelitian ini adalah untuk mengetahui model dan hasil peramalan pada produksi minyak kelapa sawit Indonesia, harga CPO di pasar internasional, inflasi, jumlah uang beredar M1, kurs USD, dan nilai ekspor minyak kelapa sawit Indonesia. Data yang digunakan bersumber dari BPS, BI, dan Index Mundi, mencakup periode Januari 2017 hingga Desember 2021. Berdasarkan lag optimum model VECM, hasil penelitian menunjukkan model VECM(1) cocok digunakan. Dalam estimasi parameter, terdapat hubungan jangka panjang antara variabel nilai ekspor minyak kelapa sawit Indonesia dengan kelima variabel lainnya, dan terdapat hubungan jangka pendek antar variabel yang diamati. Hasil peramalan rata-rata bulanan untuk produksi minyak kelapa sawit Indonesia adalah 4.211.539 ton, harga CPO di pasar Internasional adalah 2.583,96 USD/metrik ton, inflasi adalah 0,1365938333 persen, jumlah uang beredar M1 adalah 3.051.982 milyar rupiah, kurs USD adalah 14.115,48 rupiah dan nilai ekspor minyak kelapa sawit Indonesia adalah 4.641.307 ribuan dolar US. Kata Kunci: Peramalan, VECM, Faktor Ekonomi, CPO
Penentuan Probabilitas Perubahan Nilai Dari Mata Kuliah Prasyarat Statistika Matematika Ii Menggunakan Proses Rantai Markov I Putu Eka Suarsa; Made Novita Dewi; Ni Kade Hindu Pertiwi; Ulfatun Farika Novitasari; Dyan Ayu Wijayanti; I Gusti Ayu Made Srinadi; Made Ayu Dwi Octavanny
Konstanta : Jurnal Matematika dan Ilmu Pengetahuan Alam Vol. 2 No. 2 (2024): Juni : Jurnal Matematika dan Ilmu Pengetahuan Alam
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/konstanta.v2i2.3183

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This research aims to determine the probability of changes in grades from the prerequisite course Mathematical Statistics II using the Markov chain process method. Prerequisite courses are an important component in the higher education curriculum, because they influence student success in advanced courses. In this study, student grade data was collected and analyzed to map the transition between grade categories from one semester to the next. The Markov chain model is applied to predict patterns of value change, with the assumption that the future state of value depends only on the current state. It is hoped that the results of this research will provide insight into the pattern of grade transition, assist in academic decision making, and identify factors that contribute to an increase or decrease in student performance. Thus, this study can contribute to improving learning strategies and more effective academic policies.
Analisis Konjoin Full-Profile Untuk Mengetahui Preferensi Konsumen Pada Produk Sepatu Mohamad Dwi Agus Arianto; I Komang Gde Sukarsa; I Gusti Ayu Made Srinadi
Journal Scientific of Mandalika (JSM) e-ISSN 2745-5955 | p-ISSN 2809-0543 Vol. 5 No. 5 (2024)
Publisher : Institut Penelitian dan Pengembangan Mandalika Indonesia (IP2MI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/10.36312/vol5iss5pp221-227

Abstract

The fashion industry is an attractive and profitable business option. Currently, the need for fashion that reflects personality is very important, because first impressions have significant value. Someone who is able to give a positive first impression will be more accepted, appreciated and recognized by others. In this context, shoes are one of the crucial fashion products in improving appearance. Shoes selection is important so that consumers get maximum shoes and according to consumer preferences. One analysis that can be used to determine consumer preferences is conjoin analysis. This study aims to determine the level, attributes, and stimulus most considered by respondents in choosing expedition services by applying the full-profile method to conjoin analysis in forming a stimulus. The attributes and levels used are types of shoes models (loafers, bots, and convers), types of shoes materials (genuine leather, synthesis, and canvas), and shoe designs (high and low). The results of research conducted on 100 respondents show that the most prioritised attribute with a value of 0.437 is the type of shoe material. The level with the largest part-worth of each attribute is genuine leather (22.075). The most favourite stimulus is the high design bots shoe model using genuine leather.
ANALYSIS OF CONSUMER PREFERENCES IN CONSUMING PROCESSED COFFEE PRODUCTS AT CAFE NECTAR BALI Isabel Divya Georgiana Walewangko; I Komang Gde Sukarsa; I Gusti Ngurah Lanang Wijayakusuma; I Putu Eka Nila Kencana; I Gusti Ayu Made Srinadi; Ratna Sari Widiastuti
Jurnal Cahaya Mandalika ISSN 2721-4796 (online) Vol. 4 No. 3 (2023)
Publisher : Institut Penelitian Dan Pengambangan Mandalika Indonesia (IP2MI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/jcm.v4i3.2104

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Coffee beverages have become a highly sought-after product, particularly in tourist areas that are favoured by both local and foreign tourists. For this reason, there are many business owners who want to expand their business with coffee as the main menu. Cafe Nectar Bali, not far from the tourist attraction Garuda Wisnu Kencana (GWK), is one of the places frequented by both locals and foreign tourists. The purpose of this study is to identify the characteristics consumers often consider when consuming processed coffee products at Cafe Nectar Bali and to understand the preferences of local residents and foreign tourists regarding processed coffee products offered. The research method used is the analysis of local and foreign tourist preferences using conjoint analysis techniques. The findings show that consumers are prioritizing the type of coffee and how it is served. Both locals and foreign tourists value the diversity feature more than the presentation method feature. Local consumers choose the stimulus of latte variant and hot serving methods. On the other hand, foreign tourists chose the stimulus of latte variant and the cold serving method. Coffee; Conjoint Analysis; Consumer Preferences
IMPLEMENTASI METODE VECTOR AUTOREGRESSIVE DALAM PERAMALAN JUMLAH PRODUKSI PADI DI KABUPATEN BADUNG Margaretha Ratih Dyah Novitasari; I Wayan Sumarjaya; I Gusti Ayu Made Srinadi
Jurnal Cahaya Mandalika ISSN 2721-4796 (online) Vol. 5 No. 1 (2024)
Publisher : Institut Penelitian Dan Pengambangan Mandalika Indonesia (IP2MI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/jcm.v5i1.2122

Abstract

Forecast is a process to predict something in the future using past data. One of common model used in forecast is time series data that is vector autoregressive (VAR) model. The research purpose is to know the model and amount of rice production in Badung regency. It is used seconder data get from the BPS office Bali and BMKG Denpasar, that are rice production data, harvest area, and rainfall from Januari 2018 till December 2022. Base on lag optimum model VAR, the research result show that the VAR(1) model is suitable being used. Therefore, base on MAPE forecast criteria the VAR model in this research show the result less accurate. Eventhough the forecast pattern for rice production, harvest area, and rainfall show the stability. Beside that in the first period there is shocking in the IRF analysis but finally reach the stabil condition. Keywords: Forecast, VAR models, Rice Production, Harvest Area, Rainfall
KLASIFIKASI PENYAKIT SIROSIS HATI DENGAN CART Yasmin Roni Mz; I Komang Gde Sukarsa; I Gusti Ayu Made Srinadi
Jurnal Cahaya Mandalika ISSN 2721-4796 (online) Vol. 5 No. 1 (2024)
Publisher : Institut Penelitian Dan Pengambangan Mandalika Indonesia (IP2MI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/jcm.v5i2.2123

Abstract

The nonparametric exploratory is a method that can be used to see the relationship between the dependent variable and the independent variable. One of the types of nonparametric exploratory methods is the CART. CART is a method that presents large amounts of data to be processed in the form of a decision tree so that it becomes valuable and easy to understand information. This research aims to build a decision tree model based on medical records from patients with liver cirrhosis using the CART. This research also used 16 independent variables of 276 data that will be used as research objects. The results of this study obtained a decision tree model with an independent variable. The first used as the root node is hepatomegaly because the hepatomegaly variable has a more homogeneous value compared to the other independent variables and that there were eight groups in this research. However, due to the nature of the CART method which is unstable and very sensitive to new data, and highly dependent on the number of samples, the accuracy rate in this study is less than 70%, this is because the data in one group is unbalanced if compared to data in the other group.
Analisis Penerapan Birth and Death Process pada Teori Antrean Wizzmie Jimbaran Ni Komang Viona Amelia Putri; I Gede Eza Purnama Putri; Ni Putu Dhea Angelita Dusak; I Gusti Ayu Made Srinadi; Made Ayu Dwi Octavanny
JURNAL RISET RUMPUN ILMU PENDIDIKAN Vol. 4 No. 1 (2025): April : Jurnal Riset Rumpun Ilmu Pendidikan
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurripen.v4i1.4513

Abstract

A queue is a condition where there is a delay in service due to busy service activity. Queues can occur at places that provide services, one of which is at places that provide food and beverage services. The fast food trend is growing rapidly. One of the restaurants providing fast food is Wizzmie Jimbaran. Queuing theory is used to determine optimization in decision making in queuing systems. This research purposed to determine the theory and queuing system, birth and death in queuing theory, queuing system model, the probability that there are zero people in the system, average arrival rate, average level of service to visitors, and to find out optimality of the queuing system at Wizzmie Jimbaran. From the results, it was found that a birth and death process occurred at Wizzmie Jimbaran queuing process with the M/M/3 queuing model and First In First Out (FIFO) service discipline. The average level of consumers waiting in queue is 1-3 queues. With the system utility level ranging at intervals that are not much different and the probability that there are zero people in the system recorded is less than 1. The time required for visitors in the system is 2-5 minutes and the time required for visitors in the queue is 1-5 minutes.
Co-Authors AA Sudharmawan, AA ADE KUSUMA DEWI Agnes Juliet Boking Agnes Juliet Bokings Agung Dwi Cahya Megamahaputra AGUST WIRAS ARDI KUSUMA ANAK AGUNG ISTRI AGUNG CANDRA ISWARI ANNA FITRIANI AYU SANDRA TIARA DEWI Ayuk Dwi Cahyani Chairun Nisa Cokorda Istri Tirta Rusmala Dewi Deddi Prima Putra DERY MAULANA Desak Putu Eka Nilakusmawati DEWA AYU DWI ASTUTI Dewi, Cokorda Istri Tirta Rusmala DOMINGGAS TEO Dyan Ayu Wijayanti EKA ARISTA ANJASARI Eriska May Wulandari EVARISTUS VERIYOGI YALSCHEN LEMBUNAI G. K. GANDHIADI G. K. GANDHIADI GILANG BIMASAKTI ANDHIKA GUSTI AYU PUTU YULIANDARI GUSTI AYU RATIH ASTARI HIRZI FIRDAUSI I GEDE AGUS JIWADIANA I Gede Eza Purnama Putri I Gede Purna Adi Putra I GUSTI AYU MADE VALENTINA DEWI I Kadek Yudha Pramana Adi I KOMANG GDE SUKARSA I Komang Gede Sukarsa I Made Agus Gelgel Wirasuta I MADE BUDIANTARA PUTRA I MADE PRABA ESHA SUKSEMAWAN I Nyoman Widana I Putu Eka Nila Kencana I Putu Eka Suarsa I PUTU YUDANTA EKA PUTRA I Wayan Sumarjaya I.K.G. Sukarsa IDA AYU MADE SUPARTINI Isabel Divya Georgiana Walewangko K. Jayanegara KADEK NOVIA DWIJAYANTHI KASTIN DWILEN PONG SUMAE Ketut Jayanegara KHOSYI RUKITO Komang Dharmawan LUH KOMANG MARDIANI Luh Putu Ratna Sundari LUH PUTU SAFITRI PRATIWI LUIS RICARDO PANDIANGAN Luky Adrianto M ARRIE KUNILASARI ELYNA Made Asih MADE AYU DWI OCTAVANNY MADE NARYMURTI WIDYASTUTI Made Novita Dewi Made Susilawati Margaretha Ratih Dyah Novitasari MILATUS SHOLIKHA Mirza Rizaldi Sudrajat Mohamad Dwi Agus Arianto MULIA YASMAN NADIYA YUVITA RIZKI NATASYA WIDIA PUTRI Ni Kade Hindu Pertiwi NI KADEK ARISKA DEWI Ni Kadek Dhirayani NI KADEK DWI ARISYA AFRILIANTI NI KADEK ENDAH YANITA UTARI Ni Komang Viona Amelia Putri NI LUH GEDE SINTA ARYATI NI LUH NIKASARI Ni Luh Putu Suciptawati NI LUH WIWIN YUNIARTI Ni Made Asih Ni Made Audi Kirei Saraswati Ni Made Putri Ja Yanti NI MADE SEKARMINI NI MADE SRI KUSUMAWARDHANI NI NYOMAN UTAMI DEWI Ni Putu Dhea Angelita Dusak NI PUTU DIAN ASTUTIK Ni Putu Linda Laksmiani Ni Putu Manik Maharani NI PUTU MEILING UTAMI NI PUTU MIRAH SRI WAHYUNI Ni Putu Monikha Alvionitha NI PUTU NIA IRFAGUTAMI NI PUTU PREMA DEWANTI NI PUTU RINA ANGGRENI NI WAYAN ARI SUNDARI NI WAYAN ARIS APRILIA A.P NI WAYAN ASRI PRADNYANI Ni Wayan Dewi Anastasya Pratiwi Ni Wayan Merry Nirmala Yani NI WAYAN YULIANI NI WAYAN YUNI CAHYANI NOVIAN ENDI GUNAWAN NUR FAIZA NURMA ALIYUWANINGSIH NYOMAN GDE PRAJNAWIWEKA RATMASA TARAM NYOMAN KRISHNA PRATIWI DANGIN Nyoman Wendri PALUPI PURNAMA SARI PANDE PUTU BUDI KUSUMA Putu Edi Dimas Saputra PUTU SUSAN PRADAWATI Putu Wulan Cahayaningrat Ratna Sari Widiastuti SORAYA SARAH AFIFAH TJOK GDE SAHITYAHUTTI RANANGGA TRI ALIT TRESNA PUTRA Ulfatun Farika Novitasari ULYATIL AENI Wayan Evi Handayani Wijayakusuma, I Gusti Ngurah Lanang WILDAN FATTURAHMAN MUJTABA Yani Arthayanti Yasmin Roni Mz ZANUAR SEPTYADI