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Green Economy Index Development as a Measurement Instrument for Green Economy Transition in Bogor Regency Zulaika, Aidha; Hartono, Tjahjo Tri; Afrianto, Yuggo; Nurhayati, Immas; Pratini, Ratna; Tazkialaras
Jurnal Rekayasa Lingkungan dan Biosistem Vol. 3 No. 2 (2025): Jurnal Relibi Vol.3 No.2 2025
Publisher : Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/relibi.v3i2.2334

Abstract

This study develops and implements the Green Economy Index (GEI) as an instrument for measuring green economy transition in Bogor Regency. Using a composite index methodology adopted from OECD and UNDP best practices, the GEI integrates 15 indicators across three pillars: economic (6 indicators), social (4 indicators), and environmental (5 indicators). Data were collected from official government publications (BPS, KLHK) for the period 2020-2024. The index was constructed using min-max normalization and geometric mean aggregation. Model validation through backtesting showed a Mean Absolute Percentage Error (MAPE) of 5.10%, classified as "Highly Accurate." Results indicate that Bogor Regency's GEI reached 50.16 in 2024 ("Moderate" category), with the Social Pillar performing best (62.49), followed by Environmental (50.46) and Economic (40.03). Scenario projections suggest the GEI could reach 61.76 by 2030 under moderate assumptions (CAGR 3.53%). This study provides an evidence-based framework for green economy policy formulation at the regional level.
LAYANAN PEMERIKSAAN DAN PENGUMPULAN DATA KESEHATAN SISWA-SISWI KELAS VI BERBASIS SISTEM INFORMASI MENGGUNAKAN METODE FUZZY TSUKAMOTO Jaenudin, Jejen; Afrianto, Yuggo; Firdaus, Yoga Hardi
JPMUJ Vol. 1 No. 3 (2023): SEMUA ARTIKEL TERBIT SECARA ONLINE
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat UIKA Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/jpmuj.v1i3.1914

Abstract

Health is an asset given by humans, therefore health is a very expensive value. Students who are facing the final exam as a condition of graduation, are expected to have a health condition to be able to take the exam and tutoring school National Examination. Therefore the results of observations in community service activities found the need for a system that is able to predict student health by collecting data on the health of any student included in the category of healthy, less healthy, and unhealthy by examining it. The method used in predicting uses Fuzy Tsukamoto's method and the client and server system development method. The test results obtained by examining 78 students and able to predict 60 people in the healthy category and 18 people sick.
An examination of the quality of wireless signal at access points based on the kind of obstacle Hendra Ginanjar; Ritzkal Ritzkal; Yuggo Afrianto
Jurnal Inovatif : Inovasi Teknologi Informasi dan Informatika Vol. 6 No. 2 (2023)
Publisher : Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/inovatif.v6i2.651

Abstract

The purpose of this study is to analyze the wireless signal quality of an access point (AP) with a focus on the types of obstacles that could potentially affect network performance. The use of wireless technology has become essential in sustaining modern civilization, especially in environments with various types of machines such as walls, electronic devices, and electromagnetic machines. The analysis method involves measuring and adjusting the signal quality at several points that indicate conditions that could be affected by the use of non-reversible mesh. The signal strength, transmission speed, and connection handling at each observation point were analyzed. Finally, the analysis results were used to identify the type of wireless signal work and the impact of different types of obstacles. The results of this study provide insight into how certain types of obstacles can affect wireless signal quality at access points. These findings can aid in the development of strategies to improve and enhance wireless network performance, including recommendations for optimizing access point placement or using interference mitigation technologies.
Co-Authors .S.T., M.Kom., Suhadi Acep Ansor Adhi Prakoso, Bayu Afif Rafyan Agus Rohimat Aidha Zulaika Ajmilah, Wika Alhadi, Ade Andes Andes Angelina, Putri Anggra Triawan Annisa, Sarah Chairul Arief Goeritno Arif Sulistio Aris Kurniawan Yusuf Asep Ramdan Sopyan Nurdin Asep Syaepudin Chaisar Putra, Ivanna Dahlia Widhyaestoeti Dedi Supriadi Desmy Riani Dewi, Kalih Puspita Didik Setiyadi Ebim Fatur Rohman EKO WAHYUDI Enomi Muhamad Giri Salako Fahrezi, Muhamad Rizky Falma, Nuru Fauzan, Ilham Rizq Fety Fatimah Firdaus, Fadhillah Firdaus, Yoga Hardi Fithri Muliawati Fitria Rachmawati Gibhta Fitri Laxmi Gibtha Fitri Laxmi Hadi, Eko Halimatusyadiah, Halimatusyadiah Hannisa Rahmaniar Hasnin Hendra Ginanjar Hendrawan, A. Hendri Heru Sukoco Ibnu Hanafi Setiadi Ilma, Neng Indriyawati Indriyawati, Indriyawati Ivanna Chaisar Putra Jejen Jaenudin Komarudin Kurnia, Annisa Desri Leny Tritanto Ningrum M. Imam Sundarta Mahpulah, Siti Ainun Maswan, Maswan Maulana, Fachry Rizky Muchtar, Kaisha Az Zahra Ningrum, Almyanti Ningrum, Leny Tritanto Novita Br Ginting Nurhayati, Immas Nurzaelani, Mohammad Muhyidin Permana, Arisandi Anwar Prakosa, Bayu Adhi Pratini, Ratna Puspa Eosina Putra Pratama, Saga Eka Putri, Adriani Rianita Putri, Azzahra Safira Sekar Putria, Chairunnisa Melani Rendy Munadi Renea Shinta Aminda Ridhan Anggihadi Prayudha Ridwan Kurniawan Ritzkal, Ritzkal Rizky Amalia Sa'diah, Maemunah Sa'diyah, Maemunah Sajaratul Aini Sarah Chairul Annisa Sayaza, Mas Davino Setyorini Setyorini Setyorini Slamet Riyadi Slamet Riyadi Sonia, Neng Sulaikandi, Brisman Armansyah Suratun Suratun Suratun Suratun Syafrial Syafrial Syaiful . Syaiful Syaiful Tazkialaras Tjahjo Tri Hartono Triansyah, Muhammad Bugi Wahjuni, Sri Widyanto, Toto Wulandari, Berlina Yashintya Nelawati Yoga Permana Yunita Yunita