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All Journal Signifikan : Jurnal Ilmu Ekonomi Jurnal Wilayah dan Lingkungan AFEBI Economic and Finance Review Ganaya: Jurnal Ilmu Sosial dan Humaniora Economics and Finance in Indonesia Infotekmesin Jurnal E-Komtek At-Tanzir : Jurnal Ilmiah Prodi Komunikasi Penyiaran Islam Madani : Indonesian Journal of Civil Society Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Journal of Strategic and Global Studies Jurnal Teknik Informatika (JUTIF) Jurnal Kebijakan Ekonomi Jurnal Sosial dan Sains Tirtayasa Journal of International Law
Hera Susanti, Hera
Jurusan Teknik Elektro, Fakultas Teknik, Universitas Gadjah Mada Jl. Grafika No. 2, Yogyakarta, 55281.
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Home Garden Areas (KRPL) and Food Insecurity in Indonesia Yudistira, Giskar; Susanti, Hera
Ganaya : Jurnal Ilmu Sosial dan Humaniora Vol 9 No 1 (2026)
Publisher : Jayapangus Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37329/ganaya.v9i1.4959

Abstract

Food security is essential to ensure the availability, access, and consumption of sufficient, nutritious, and safe food for all people. The Home Garden Areas or Kawasan Rumah Pangan Lestari (KRPL) in the local language is one of the government's food security programs. The number of KRPLs has steadily increased between 2017 and 2021. However, the level of food insecurity has risen since 2020. Variations in the number of KRPLs from 2017 to 2021 were accounted for in this study to estimate their impact on food insecurity. This study recommends that KRPL be accompanied by other policies, particularly poverty reduction programs in food insecurity interventions, at least in regencies/municipalities with "high" and "very high" food insecurity categories. The magnitude and significance of the relationship between KRPLs and food insecurity were estimated using this study's panel data analysis techniques with the Fixed Effect method. According to the simulation results, an additional 157 KRPL areas are required in each regency and municipality to bring the SaMaPua regions into the "moderate" food insecurity category. The total number of KRPL needed for the SaMaPua region becomes 14.915 areas. The average food insecurity in Java-Bali from 2017 to 2021 is nearly half that of non-Javanese and Bali food insecurity. The maximum value of food insecurity in non-Java and Bali areas is 83,6 percent, indicating that there are still areas with "very high" food insecurity outside Java-Bali. According to the estimation results, KRPLs significantly reduce food insecurity after one year, particularly in the Java and Bali regions.
Rancang Bangun Alat Estimasi Nilai Lumen Lampu Berbasis Internet of Things dengan Aplikasi Android Blynk Ardiansah, Feri; Prasetia, Vicky; Susanti, Hera; Rafiq, Arif Ainur; Riyanto, Sugeng Dwi
Infotekmesin Vol 17 No 1 (2026): Infotekmesin: Januari 2026
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v17i1.2867

Abstract

The development of lighting technology, particularly LED lamps, drives the need for light intensity testing (lumen) to ensure quality and energy efficiency. The SNI IEC 62612:2016 standard establishes testing parameters that must be met, but field testing processes are still largely manual and inefficient. This research aims to design and realize an Internet of Things (IoT)-based lamp lumen value testing tool with results displayed on an Android application as a practical and automated solution. The tool is designed according to the SNI IEC 62612:2016 standard, equipped with a BH1750 sensor to measure light intensity (lux), a PZEM-004T sensor to measure voltage and current, and an MLX90614 sensor to measure lamp surface temperature. The testing process is performed automatically using a NodeMCU ESP32 microcontroller, with measurement results displayed on a 20x4 LCD and transmitted to the Blynk application on Android in real-time. Testing on 16 LED lamp samples from various brands and powers showed that the system has high accuracy with average BH1750 sensor accuracy of 98.78%, MLX90614 sensor accuracy of 99.74%, PZEM-004T sensor accuracy for voltage of 99.9% and current 100%, as well as error-free data transmission to Android applications. This tool successfully performs lumen testing automatically, accurately, and efficiently according to national standards.
Co-Authors ., Gosen Agus Susanto Aji, Galih Mustiko Al Zuhri Alimudin, Erna Alkhafaji, Mohammed Ayad Ardiansah, Feri Ayu Lestari, Rizki Fadhilah, Revani Fahrudin, Wawan Gosen, Gosen Gunawati, Anne Hazrina, Fadhillah Hewings, Geoffrey J. D. Ida Ayu Putu Sri Widnyani Iskandar, Sulistiadi Dono Kurniawan, Deden Ferry Lumbantoru, Melyana Malwengo, Joel Mardiyana Mardiyana Miftahurrahmah Miftahurrahmah, Miftahurrahmah Muhammad Farhan Muhammad Yusuf Muksalmina Muksalmina Mywa Putri, Yoshe Rezky Adhitama Nurdin, Hanifah Nusantoro, Nalendro Prasetia, Vicky Purwaningrum, Santi Rafiq, Arif Ainur Revindo, Mohamad Dian Riyadi Purwanto Rohani, Aceng Asnawi Sabrina, Syahda Sabrina, Yunita Sihotang, Berliana Deborah Solapari, Nuryati Sugeng Dwi Riyanto Sumardiono, Arif Widianingsih, Betti Yudistira, Giskar Zaenurohman, Zaenurohman Zaenurrohman Zaenurrohman Zaenurrohman, Zaenurrohman