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Analisis Peran Motivasi Dan Pelatihan Kerja Terhadap Kinerja Pelaku Industri Kuliner Di Provinsi DKI Jakarta Itot Bian Raharjo; Hendy Tannady; Iwan Adinugroho; Kraugusteeliana Kraugusteeliana; Eva Solina Gultom
Management Studies and Entrepreneurship Journal (MSEJ) Vol. 4 No. 1 (2023): Management Studies and Entrepreneurship Journal (MSEJ)
Publisher : Yayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/msej.v4i2.1433

Abstract

Penelitan ini bertujuan untuk mengetahui tentang pengaruh pelatihan kerja dan motivasi kerja terhadap kinerja pelaku industri kreatifdi industri kuliner di Jakarta Timur, ingin mengetahui betapa pengaruhnya pelatihan kerja dan motivasi kerja terhadap kinerja pelakuindustry untuk meningkatkan usaha merka terutama di industri kuliner. Pada penelitian ini, melakukan survei terhadap 104 respondenyang merupakan karyawan kinerja pelaku indsutri kuliner di dearah Jakarta timur. Menunjukkan bahwa berpengaruh positif pelatihan kerja dengan nilai uji t sebesar 2,027 dan motivasi kerja dengan nilai uji t sebesar 6,259. Dengan demikian, penelitianmelihat bahwa pelatihan kerja dan motivasi kerja di industry kreatif sangat berpengaruh dengan kinerja pelaku industri kuliner. Kata Kunci: Pelatihan Kerja, Motivasi Kerja, Kinerja, Indusri Kreatif,Industri Kuliner,  Jakata Timur
Forecasting Analysis of Fishermen’s Productivity Data Using Single Exponential Smoothing Taufiq Dwi Cahyono; Heri Purwanto; Iwan Adhicandra; Kraugusteeliana Kraugusteeliana; Edy Winarno
JINAV: Journal of Information and Visualization Vol. 3 No. 2 (2022)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.jinav1487

Abstract

One of the reasons why it is vital to forecast fisher production data in coastal regions is to increase fish resource management efficiency. By calculating the number of fishing boats, the amount of fish that must be caught, and the amount of raw materials required for fish processing based on the anticipated amount of fishermen's production in the following period, decision-makers can determine the amount of fish that must be caught and the amount of raw materials required for fish processing. So that the objective of the research is to forecast fishermen's production data using the Single Exponential Smoothing method, this method is effectively used to perform forecasting of time series data with short period data intervals to produce forecasts for the next period, and it can measure the rate of change of fishermen's production data each period. The results of forecasting data on fishermen's production utilizing time series data intervals from October 2022 to January 2023 to make forecasts for February 2023, namely a MAPE error rate of 2.85%, indicate that the forecasting results are within the "good" category.
Business Risk Management Using Strengths Weaknesses Opportunities Treats in Small Business Mekar Meilisa Amalia; Kraugusteeliana; Baren Sipayung; Indra Rustiawan; Bambang
Junal Ilmu Manajemen Vol 6 No 1 (2023): January: Management Science and Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/jmas.v6i1.206

Abstract

In terms of product marketing, the post-pandemic transition to the new normal era has a significant impact on MSMEs, specifically a fall in demand, which substantially disrupts economic activity. Of course, the impact of diminished product demand poses a risk for MSMEs engaged in these commercial operations. Risk management is required to lead, identify, and find solutions to hazards. The significance of understanding risk management in marketing has a substantial impact on MSMEs in choosing effective marketing strategies for service quality, product diversity, and increasing sales turnover. As a result, the research purpose is to analyze risk management in MSME enterprises using SWOT analysis, in order to propose methods for MSMEs in identifying opportunities and strengths in business operations. Risk management investigation revealed operational risks in MSMEs when running a firm, raw material supply risks, and marketing risks, all of which are crucial in reaching a bigger market segmentation and meeting marketing targets. The SWOT analysis results can provide strategic recommendations for MSMEs that produce 9 strategies based on studying MSMEs' strengths and possibilities in facing global competition and maintaining enterprises to further improve sales turnover.
Sistem Pakar Untuk Mendiagnosa Penyakit Paru-Paru dengan Menggunakan Metode Teorema Bayes Alex Wenda; Kraugusteeliana Kraugusteeliana; Andik Adi Suryanto; Sitti Nur Alam; Karya Suhada
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 1 (2023): Januari 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i1.5394

Abstract

Health is one of the most expensive assets that no one can buy. So that health is the most important thing for every human being, which is priceless. One of the important organs in the human body that greatly affects health is the lungs. The lungs are a part of the human body that plays a role in the respiratory system. Where the respiratory system holds the main control in human life after the heart. at the time of examination of the lungs, the costs required are relatively expensive. So because of the high cost of inspection and the lack of funds owned by the community, so that in the end the community becomes hesitant to carry out an examination. To help the community in dealing with these problems, a system is needed that can help the community diagnose or find out the disease that is being experienced by the community. The system is an expert system. An expert system is a system developed by experts using technology. Expert systems need methods. The method used in this study is the Bayes Theorem. The main function of this Bayes Theorem is to calculate the probability of an event or event occurring through the basis of the effect resulting from an observation or observation. After carrying out calculations based on this method, information was obtained that 90% of patients who consulted had Lung Cancer.
Analisis Penerapan Metode WASPAS dan MOORA dalam Kelayakan Pengangkatan Karyawan Tetap Kraugusteeliana Kraugusteeliana; Sitti Nur Alam; Bambang Triwahyono; Muhammad Bayu Wibisono; Fryda Fatmayati
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 1 (2023): Januari 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i1.5343

Abstract

In determining the considerations for determining employees, there are many criteria that must be owned by an employee. Each company has different criteria for determining considerations and considerations, to make employees more active and get a clear position. To determine the decisions of employees who deserve to be permanent employees, a decision support system is needed. This study aims to determine the best alternative based on predetermined criteria by applying the Multi Objective Optimization On The Basis Of Ratio Analysis (MOORA) method and the Weight Aggregated Sum Product Assessment (WASPAS) method. The research was carried out by finding the values for each attribute, then a ranking process was carried out which would determine the optimal alternative, namely determining the considerations to be carried out. As for those who are eligible to become permanent employees, alternative A6 with the acquisition value of the WASPAS method is 7.175147 and the acquisition value of the MOORA method is 0.37077. So it can be said that the methods that are suitable for application in WASPAS and MOORA are methods that are one of the appropriate methods WASPAS and MOORA are suitable methods for calculating an event.
Perbandingan Data Vektor dan Data Raster Untuk Perhitungan Lingkungan Lanskap Menggunakan Pendekatan Sistem Informasi Geografis Eggy Giofandi; Khursatul Munibah; Kraugusteeliana Kraugusteeliana; Amira Novalinda; Cipta Sekarrini
IT Journal Research and Development Vol. 7 No. 2 (2023)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/itjrd.2023.10878

Abstract

GIS-based measurements can combine vector and raster data to produce thematic data obtained from remote sensing data. The data used in this study uses data on land use in the city of Pekanbaru. After the data is obtained, the pixel calculation process is carried out using three methods: the cell center method, the maximum area, and the maximum combined area. This data describes information with multiple raster data resolutions and then interprets the level of distortion in the data. The research findings found that in the process of raster data from 8 different resolution levels for the 5x5 meter category, it is able to provide results that are closest to the area of vector data, where PL 1 code produces 404229 pixels, PL 2 code ranges from 225717 pixels, PL 3 code ranges from 160323 pixels, code PL 4 ranges from 92268 pixels, PL 5 code reaches 73384 pixels, PL 6 code reaches 57237 pixels, and PL 7 code reaches 48315 pixels. Meanwhile, of the 3 methods that were compared to determine distortion with vector data, the cell center approach was the closest to raster data by calculation through eight levels of raster resolution compared to the other two methods. In choosing the right pixel resolution for further use in mathematical modeling, it is necessary to pay attention to the level of resolution by generalizing the resolution of satellite imagery data so that the data can have the same resolution. The weakness of the three methods lies in increasing the resolution the greater it will make the data coarser. This research is expected to be used as a consideration in future research to add a more precise process and be able to produce less storage capacity.
The Analysis of Relationship Between Student Learning Motivation And Student Higher Order Thinking Skill (HOTS) Devin Mahendika; Nurul Hikmah; Kraugusteeliana K; Firman Aziz; Buyung Firmansyah
Jurnal Pendidikan Tambusai Vol. 7 No. 1 (2023): April 2023
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (74.73 KB)

Abstract

Indonesia terus mendapat peringkat buruk dalam peringkat PISA untuk negara-negara dengan hasil belajar yang buruk karena kurangnya keterampilan berpikir tingkat tinggi (HOTS) dan motivasi belajar. Tujuan dari penelitian ini adalah untuk mengetahui apakah kemampuan berpikir tingkat tinggi berhubungan dengan keinginan belajar untuk hasil belajar Kimia Kesetimbangan. Metodologi kuantitatif dan survei digunakan dalam studi korelasional ini. Pengambilan sampel dilakukan dengan purposive sampling yang melibatkan 191 orang. Kuesioner berisi 47 pernyataan dan esai berisi 16 pertanyaan digunakan sebagai instrumen tes untuk mengevaluasi kemampuan berpikir tingkat tinggi. Analisis data dilakukan dengan menggunakan SPSS versi 22 dan analisis regresi berganda. Hasil pengujian hipotesis menunjukkan adanya hubungan antara kemampuan berpikir tingkat tinggi dengan motivasi belajar kimia, serta hubungan antara kemampuan berpikir tingkat tinggi (HOTS) dan motivasi belajar kimia dengan nilai sig. < 0,05. Inovasi merupakan prediktor terbaik dari kemampuan berpikir tingkat tinggi dan memiliki tujuan dan sasaran untuk masa depan, merupakan indikator motivasi belajar yang terbaik. Jadi, ada hubungan antara kemampuan berpikir tingkat tinggi (HOTS) dengan motivasi belajar siswa.
DO INNOVATIVE WORK BEHAVIOR AND ORGANIZATIONAL COMMITMENT CREATE BUSINESS PERFORMANCE: A LITERATURE REVIEW Lili Fadli Muhamad; Rizal Bakti; Mohamad Trio Febriyantoro; Kraugusteeliana Kraugusteeliana; Abu Muna Almaududi Ausat
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 4 No. 1 (2023): Volume 4 Nomor 1 Tahun 2023
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v4i1.12479

Abstract

Nowadays, there are many new knowledge, innovations, and changes marked by the rapid advancement of technology. Business competition is becoming increasingly competitive. This research will explain two important constructs that can create increased business performance and remain adaptive, namely innovative work behavior and organizational commitment. This condition is very crucial, considering that many business organizations neglect to produce innovative employees and build solid organizational commitment, thus marked by layoffs. The literature review method is used in this study in order to find complete and complementary results. Based on the literature review, this study arrived at the finding that innovative work behavior and organizational commitment can create successful business performance such as increased sales, profits, satisfaction, market share, high productivity, employee loyalty, and low employee turnover. Such indicators are good assets for companies to remain agile in improvising in an increasingly modern era in implementing business strategies. The results of this study are expected to be discussed in management science and business administration, and implemented for certain parties in order to achieve business success.
Penerapan Model UTAUT Untuk Mengevaluasi Penerimaan dan Penggunaan E-learning Smartschool (Studi Kasus : SMA Negeri 96 Jakarta) Siti Khofifah Munjiyanti; Kraugusteeliana Kraugusteeliana; Anita Muliawati
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 10 No 1 (2023): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v10i1.3100

Abstract

E-learning Smartschool is one of the Smarteschool services used at SMAN 96 Jakarta since the Covid-19 pandemic in 2020. E-learning Smartschool is used as a media for distance learning at SMAN 96 Jakarta with the hope that teaching and learning activities during the pandemic can continue. So the UTAUT model is proposed to measure student acceptance of SMAN 96 Jakarta on the use of e-learning Smartschool. Unified Theory of Acceptance and Use of Technology is a theoretical framework consisting of four independent variables, two dependent variables and four moderating variables that function to measure the acceptance and use of information systems. This study uses the PLS-SEM data analysis method with data from questionnaires distributed to 271 students of SMAN 96 Jakarta. This study found that behavioral intention (BI) was significantly influenced by performance expectations (PE), business expectations (EE) and social influence (SI) which was 57.8% while use behavior (UB) was significantly influenced by facilitating conditions (FC) and behavioral intention (BI) which is 52.1%. It can be concluded that Smartschool E-learning can be accepted and used by students of SMAN 96 Jakarta as a supporting medium for distance learning during the Covid-19 pandemic.
Development of Effective Learning Strategies to Improve Social-Emotional Skills in Early Childhood Ishak Bagea; Abu Muna Almaududi Ausat; David Rindu Kurniawan; Kraugusteeliana Kraugusteeliana; Hizbul Khootimah Azzaakiyyah
Journal on Education Vol 5 No 4 (2023): Journal on Education: Volume 5 Nomor 4 Mei-Agustus 2023
Publisher : Departement of Mathematics Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joe.v5i4.2474

Abstract

Early childhood education has a very important role in early child development. Education provided in early childhood must be comprehensive, covering various aspects such as social-emotional, cognitive, physical and language skills. However, social-emotional skills often do not get enough attention in early childhood learning. So, this research will discuss the development of effective learning strategies to improve social-emotional skills in early childhood. The focus of this study is primarily qualitative. Listening to and recording pertinent information is a data collection method that can then be used in data analysis steps like summarization and visualisation. Study ii came to the conclusion that developing effective learning strategies can improve social-emotional skills in early childhood. Some strategies that can be implemented and are potentially effective include implementing learning programmes based on children's needs and interests, using interactive and collaborative learning methods, and facilitating a safe, comfortable and supportive learning environment.
Co-Authors Abdul Karim Abdurrahman Sadikin Abu Muna Almaududi Ausat Agustian Zen Ahmad Junaidi Ahmad Subagiyo Airlambang, Dwiki Akhir Lusono Alam, Sitti Nur Alfiatun Masrifah Almaududi Ausat, Abu Muna Alviansah, Yoga Pratama Amira Novalinda Ananda Alvi Al Fadhli Anandar, Rafika Andik Adi Suryanto Andik Bintoro Andriya Risdwiyanto Anita Erari Anita Muliawati Anwar Nassihin Ardhana Januar Mahardhani Arief Yanto Rukmana Arijanti, Susi Arjang, Arjang Artika Arista Asri Ady Bakri Asto, Gelar Astuti, Rini Puji Ausat, Abu Muna Almaududi Awaludin, Dipa Teruna Az Zaakiyyah, Hizbul Khootimah Azhar Andika Putra Azim Zaliha binti Abd Aziz Bahtiar Efendi Bakri, Asri Ady Bakti, Rizal Bambang Bambang Saras Yulistiawan BAMBANG SURAHMAN Bambang Winardi Baren Sipayung Bayu Wibisono, M Bekti Setiadi Buamonabot, Irfandi Buyung Firmansyah Candra candra Candra Candra Chairul Anwar Chevy Herli Sumerli Cipta Sekarrini Darmo, Cahyo Pambudi David Rindu Kurniawan Della Chintiya Dewi Dendy K. Pramudito Deni Mahdiana Devin Mahendika Diana Dyah Damayanti Diawati, Prety Diki Prayugo Wibowo Dikky Suryadi Dwi Asa Verano Edy Winarno Eggy Giofandi Erly Krisnanik Ernawati, Iin Ernie C. Avila Eva Solina Gultom Fairuzzaki, Rizal Alief Fauzan Hakim Febrinazahra, Mahdiyyah Febriyanti, Lisa Fidi Setyawan Fifto Nugroho Firdaus Firdaus Firdaus, Urzaiz Khairi Firman Aziz Fitri, Nurul Ainil Frans Sudirjo Frans Sudirjo Fryda Fatmayati Geofakta Razali Gideon Setya Budiwitjaksono Hadi Sutrisno Hakim, Fauzan Hamzar Hamzar Hana Hanifah Hartono, Pierdijono Hefri Yodiansyah Helena Nurramdhani Irmanda Hendri Hermawan Adinugraha Hendrikus Haipon Hendy Tannady Heri Purwanto Herlina Jayadianti Heryadi, D Yadi Hesti Indriana, Intan Hizbul Khootimah Azzaakiyyah I GEDE SUSRAMA Ika Nurlaili Isnainiyah Ilham Arief Indra Rustiawan Indra Rustiawan Indriasari, Vini Intan Hesti Indriana Intan Hesti Indriana Ira Modifa Tarigan Irwan Moridu Irwansyah, Defi Ishak Bagea Islami, Ahmad Ibnu Itot Bian Raharjo Iwan Adhicandra Iwan Adhicandra Iwan Adinugroho Iwan Henri Kusnadi J, Rhena Jeffriansyah Dwi Sahputra Amory Kamaruddin, Ilham Karya Suhada Khairani, Fatia Khursatul Munibah Kiki Farida Ferine Laksono Trisnantoro Laros Tuhuteru Lawi, Arwin Lili Fadli Muhamad Lusono, Akhir M. Rafid Mae, Patricia Nessa Mahdi Mahdi Mahdi Mahdi, Mahdi Mas Diyasa, I Gede Susrama Mas'ud Muhammadiah Masdiyasa, I Gede Susrama Maulana, Ibnu Panji Mekar Meilisa Amalia Merita Ayu Indrianti Mesri Welhelmina Nisriani Manafe Metris, Diksi Moch Arif Hernawan Moh. Solehudin Mohamad Bayu Wibisono Mohamad Trio Febriyantoro Mohammad Faishal Abyansyah Mokodompit, Eliyanti Agus Muchamad Sobri Sungkar Muh. Hanif Muh. Safar, Muh. Muhamad Risal Tawil Muhamad, Lili Fadli Muhammad Abigail Athallah Muhammad Ade Kurnia Harahap Muhammad Faisal Muhammad Farhan Muhammad Ikhwani Muhammad Rafli Alfiardi Muhammad Rif'an Dzulqornain Muhammad Subandi Muhammad Umar Maya Putra Muliawai, Anita Mulyantini, Sri Munir, Sjaiful Musiana, Musiana Musran Munizu Mustafa, Fahrina Mustain, HM. Mudjib Mutia Hasanah Napu, Fithriah Nasruddin Khalil Harahap Nasution, Habibi Azka Nayla Tinneke Kusmawardhani Ni Luh Putu Suarmi Sri Patni Nordiansyah, Muhammad Novi Rahayu Nugroho Eko Budiyanto Nurfalah, Abdu Hafizh nurfathi, Savira Nurlaili Rahmi Nurul Hikmah Octavia, Pipin Oetomo, Dedy Setyo Oh Zi Jian Permana Solihin, Indra Pierdijono Hartono Prabu, Hamonangan Kinantan Pretty Naomi Sitompul Prihandoko . Putra, Naufal Rizki Rachmadi Indrapraja Rahmat Rahmat Rahmawan, Fauzan Ahmat Rahmawati, Rahmawati Ramdhan Kurniawan Rhena J Rinovian Rais Robbi Rahim Rudhy Ho Purabaya Ruth Mariana Bunga Wadu S. Sujito Sadikin, Abdurrahman Saebani, Akhmad Saludin Muis Saludin Saludin Sanco Simanullang Saragih, Andhara Carol Satria Yudha Widjaya Sayidina Az Zahwa, Shahnaz Gladys Septiana Ningtyas Septina, Dina Silvy Sondari Gadzali Siti Hasanah Siti Hasanah Siti Khofifah Munjiyanti Sitompul, Pretty Naomi Sitorus, Sunday Ade Sitti Nur Alam Sjaiful Munir Sri Purwati Sri Wahyuningsih, Suluh Su, Johan Suherlan Suherlan Suherlan Sultan Hady Sunday Ade Sitorus Surahman, Bambang Surjati, Endang Surya, Sara Suryadi, Dikky Suryani Suryani Susanti, Putu Herny Susatyo Adhi Pramono, Susatyo Adhi Suseno Suseno Susi Indriyani Susi Indriyani Sutrisno Sutrisno Sutrisno, Sutrisno Syamsuri Syamsuri Syamsuri Tanti Widia Nurdiani Tanti Widia Nurdiani Tanti Widia Nurdiani Taqrim Ibadi Taufiq Dwi Cahyono Theresiawati Titin Titin Tjahjanto Tjahjanto Tjahjanto, Tjahjanto Tri Rahayu Tri Rahayu Tri Wahyono , Bambang Tri Wahyono, Bambang Triwahyono, Bambang Triyanto, Alzidan Arif Turyandi, Itto Veronika Yuni Violin, Vivid Wanof, M. Indre Wardhani, Naritha Cahya Wenda, Alex Wibowo, Gentur Wahyu Nyipto Widiastiwi, Yuni Widjaja, Warkianto Widya Cholil Wijaya, Vera Wirawan, Rio Yanto RUkmana, Arief Yeanne Vitrin, Irene Cindy Yenny Febrianty Yessica Siagian Yogi Nurfauzi Yoseb Boari Yuni, Veronika Yuniar, Erina Zahara Zahara Zahara Zahara Zahra, Medina Nurul Zaidiah, Ati Zalfie Ardian Zen, Agustian