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All Journal International Journal of Electrical and Computer Engineering E-Dimas: Jurnal Pengabdian kepada Masyarakat MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Nasional Komputasi dan Teknologi Informasi Jurnal Teknologi Informasi dan Multimedia Jurnal Agroekoteknologi dan Agribisnis Jurnal Sains Terapan : Wahana Informasi dan Alih Teknologi Pertanian
Inna Novianty
Sekolah Vokasi, IPB University
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Neuroscience Social Sciences Transportation Veterinary

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Pelatihan Penggunaan Microsoft Excel untuk Analisis Soal Ujian di SMAN 1 Cibungbulang Kabupaten Bogor Sofiyanti Indriasari; Walidatush Sholihah; Inna Novianty; Gema Parasti Mindara; Amata Fami
E-Dimas: Jurnal Pengabdian kepada Masyarakat Vol 12, No 2 (2021): E-DIMAS
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/e-dimas.v12i2.6024

Abstract

Proses evaluasi pembelajaran salah satunya adalah melaksanakan ujian untuk mendapatkan nilai. Perolehan nilai erat kaitannya dengan soal ujian. Soal ujian yang diberikan harus menjadi alat ukur yang memadai untuk melakukan evaluasi. Untuk mendapatkan informasi tentang karakteristik setiap butir soal perlu dilakukan analisis soal dengan melihat aspek nilai pembeda dan tingkat kesukaran. SMAN 1 Cibungbulang adalah salah satu intitusi pendidikan yang ada di Kabupaten Bogor Jawa Barat. Guru harus melakukan analisis terhadap soal yang telah dibuatnya. Kegiatan ini dilakukan secara manual. Hal tersebut seringkali menemui kendala seperti terjadi salah perhitungan dan proses pengolahan datanya memakan waktu yang lama. Oleh karena itu, diperlukan pelatihan yang bermanfaat untuk meningkatkan kemampuan guru dalam melakukan analisis soal menggunakan Microsoft Excel yang lebih cepat dan akurat. Pelatihan ini dilaksanakan selama tiga hari dan diikuti oleh guru di SMAN 1 Cibungbulang sebanyak 45 orang. Langkah evaluasi dalam pelaksanaan pelatihan dilakukan dengan memberikan tugas analisis soal sesuai mata pelajaran yang diampu oleh guru dan melaksanakan post test. Berdasarkan hasil evaluasi tersebut, 69% peserta dapat menyerap materi dengan baik dan sisanya 31% masih perlu pendampingan intensif untuk melakukan analisis soal menggunakan Microsoft Excel.
PEMBUATAN VIDEO COMPANY PROFILE DAN PRODUK MULTIMEDIA UNTUK SOSIAL MEDIA RUMAH SAKIT HEWAN PENDIDIKAN (RSHP) IPB: Creating Company Profile Video and Multimedia Product for Animal Hospital for Education (RSHP) IPB’s Social Media Inna Novianty; Nurul Ulfa Ashilah; Arni Diana Fitri
Jurnal Sains Terapan : Wahana Informasi dan Alih Teknologi Pertanian Vol. 11 No. 1 (2021): Jurnal Sains Terapan, Volume 11 Nomor 1, Tahun 2021
Publisher : IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (488.092 KB) | DOI: 10.29244/jstsv.11.1.49-61

Abstract

ABSTRACTVarious interesting activities and facilities have been carried out at RSHP IPB, but these activities have not been packaged and disseminated attractively resulting in a lack of information received by the society. Companies can disseminate information moreinteresting and easy to understand to the target according to the goals to be achieved by implementing multimedia. Animal Hospital for Education of IPB uses video and motion graphic as a promotional forum to introduce RSHP IPB and expand the information the public will receive. The methods used in the manufacture of company profile video and multimedia product are briefing, idea construction, audiens target, device application determining, reference process, revision and publication.The result of this projects are a company profile video and multimedia product such as motion graphic.This products were shared at RSHP IPB’s Social Media.
Aplikasi Virtual Reality Atom Kimia di Seamolec Inna Novianty; Walidatush Sholihah; Yudawan Aditama
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 19 No 2 (2020)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (443.801 KB) | DOI: 10.30812/matrik.v19i2.718

Abstract

This study aims to design distance learning media in the form of virtual reality. The theme of application is chemical atoms. The use of VR in education is expected to be able to improve the learning process to be more interesting because Z generation is more interested in technology-based learning. This Virtual Reality application of chemical atoms (VRChemistry) contains a list of atoms in the periodic table. The method used in this research is Interactive Multimedia System of Design and Development (IMSDD). This method was developed by Dastbaz (2003). The stages in this method are: system requirements; design consideration; implementation, and evaluation. VRChemistry displays the main room menu as the main menu which will set the user to enter the virtual world of chemical atoms. This page displays the elements contained in the periodic table along with details of the selected elements, then see about the application or exit the application. The results of this study are multimedia applications in the form of virtual reality about chemical atoms. This application is useful for distance learning.
Sipekernik: Sistem Pemantau Kekeruhan Air dan Pengairan pada Akuaponik Menggunakan Sensor Turbidity, LDR dan Water Level Nur Aziezah; Walidatush Sholihah; Inna Novianty; Mega Romadhona; Anggi Mardiyono
Jurnal Teknologi Informasi dan Multimedia Vol. 4 No. 4 (2023): February
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v4i4.324

Abstract

Aquaponics is an alternative to cultivating plants and fish in one place. This technique integrates fish farming with plants. In this case, aquaponic plants utilize nutrients from fish waste. Plants in aquaponics function as a biofilter, which will reduce these toxic substances into substances that are not harmful to fish and supply oxygen to fish-keeping ponds. With this technique, there will be a symbiosis of mutualism or a mutually beneficial cycle. The advantages obtained are the efficiency of water use and the reduction of waste contamination resulting from disposal into public waters. The water recirculation period affects the quality and quantity of fish and plants produced. Turbidity for cultivation should be no more than 25 NTU. Therefore, this tool is designed to detect the turbidity value of fish pond water in order to know the time to drain the pond using a turbidity sensor and regulate water irrigation in aquaponic installations based on light intensity values so that water does not stagnate in the installation pipe. The manufacture of this tool uses several components, such as an Arduino as a microcontroller, LDR (Light Dependent Resistor) sensor functions to turn on and off the pump, turbidity sensor functions to determine the turbidity value of pool water, and water level sensor functions to adjust the water level when draining and filling. pond water. At pump 1, the water will turn on if the intensity value of the LDR sensor is 650. If the turbidity sensor value is 25 NTU, then pump 2 will turn on and dump pool water into the shelter. After the pond water is drained to the specified height level, pump 3 will turn on to fill the fish pond with water. Pump 3 will stop when the water level is > 665.
Shannon entropy on near-infrared spectroscopy for nondestructively determining water content in oil palm Inna Novianty; Walidatush Sholihah; Gema Parasti Mindara; Muhammad Iqbal Nurulhaq; Anifatul Faricha; Rismen Sinambela; Pradeka Brilyan Purwandoko; Muhammad Achirul Nanda
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 5: October 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i5.pp5397-5405

Abstract

Indonesia is the world’s largest producer of palm oil. To preserve its competitive advantages, the Indonesian oil palm sector must expand high-quality palm oil output. In oil palm quality control, the water content is a crucial parameter as it can be used as a reference to determine the right harvest time. Thus, this study proposed a near-infrared (NIR) spectroscopy as a fast and non-destructive analysis to assess oil palm water content. NIR spectra were processed using Shannon entropy to describe the characteristics at each wavelength. In this study, oil palm fruit samples at various maturity levels were collected with eight different maturity fractions. Based on the analysis, the Shannon entropy value is closely related to any changes in the water content of palm oil. The entropy value has a decreasing trend as the water content increases. The proposed technique can predict the water content of an oil palm with satisfactory performance with values of 0.9746 of coefficient of determination (R2) and 2,487 of root mean square error (RMSE). Application of this model will lead to a fast and accurate prediction system related to oil palm water content.
Performa Produksi Ayam Broiler Menggunakan Smart Mini Closed House (Smart Pro: Production Performance of Broiler using Smart Mini Closed House (Smart Pro) Danang Priyambodo; Pria Sembada; Gilang Ayuningtyas; Yuni Resti; Tera Fit Rayani; Inna Novianty; Sofiyanti Indirasari
Jurnal Agroekoteknologi dan Agribisnis Vol. 7 No. 2 (2023): Jurnal Agroekoteknologi dan Agribisnis
Publisher : Politeknik Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51852/jaa.v7i2.675

Abstract

Closed-house broiler chickens are one of the applications of technological developments in the livestock industry by providing an environment that is in accordance with what chickens need. Mini-closed houses are built so that small and medium farmers can raise broiler chickens in the closed houses at a minimum cost. The application of information system technology 4.0 (based on IoT) in mini-closed house enclosures enables farms to become smart farms (Smart Mini Closed House/Smart Pro). The purpose of this study was to compare the production performance of broiler chickens kept in a closed house without IoT and a closed house using IoT (Smart Pro). The IoT system is used to control temperature, humidity, and air quality in real time. Observations were made for eight periods, from August 2022 to March 2023. The observed data were analyzed descriptively. The results showed that broiler chickens reared on Smart Pro had a lower average feed consumption with a higher final weight, so the feed conversion value tended to be lower. There is no difference in the percentage of depletion or performance index between the two observations. The application of IoT technology in broiler rearing shows a tendency for an increase in production performance (final weight and feed conversion). However, it is necessary to adapt the use of new technology for human resources in controlling the IoT system so that it can be utilized optimally.
Dashboard Web Real-Time untuk Monitoring Sortasi Biji Kopi Berbasis Computer Vision Muhammad Rizky Caesar; Baracahya Panata Cendikia Rahayu; Gesit Tri Nugroho; Ahmad Farrell Raafii Alaiyya Al-Attas; Faldiena Marcelita; Inna Novianty; Dodik Ariyanto
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 8, No 6 (2025): Desember 2025
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v8i6.10120

Abstract

Abstrak - Sortasi biji kopi pasca-sangrai merupakan tahapan krusial dalam quality control untuk menjamin konsistensi produk. Namun, proses manual rentan terhadap subjektivitas dan ketidakkonsistenan, khususnya bagi UMKM kopi dengan keterbatasan infrastruktur. Penelitian ini mengembangkan PiKopi, sistem monitoring sortasi terintegrasi dengan dashboard web untuk visualisasi dan pengambilan keputusan berbasis data. Sistem mengintegrasikan tiga komponen utama: (1) modul deteksi cacat berbasis Convolutional Neural Network (CNN) pada perangkat edge computing Raspberry Pi untuk identifikasi real-time, (2) backend API RESTful berbasis Flask dengan database PostgreSQL untuk manajemen data klasifikasi, dan (3) dashboard web responsif berbasis React.js untuk visualisasi data real-time. Arsitektur API-driven memisahkan frontend dan backend, memungkinkan akses monitoring dari berbagai perangkat tanpa instalasi aplikasi. Dashboard menampilkan statistik sortasi real-time, grafik distribusi kualitas, riwayat batch, dan log aktivitas dengan interface yang user-friendly. Model CNN mencapai akurasi deteksi 92% dengan sensitivity dan specificity yang seimbang. Hasil pengujian fungsional menunjukkan sistem mampu melakukan klasifikasi otomatis dan menyajikan data sortasi secara real-time kepada pengguna. Sistem ini memfasilitasi pengambilan keputusan berbasis data, meningkatkan konsistensi mutu produk, serta mengurangi ketergantungan pada inspeksi visual manual bagi pelaku UMKM kopi.Kata kunci: dashboard web; monitoring real-time; sortasi kopi pasca-sangrai; quality control; arsitektur API-driven; Abstract - Post-roasting coffee bean sorting is a crucial stage in quality control to ensure product consistency. However, manual sorting processes are prone to operator subjectivity and inconsistency, particularly for small and medium enterprises (SMEs) with limited infrastructure. This research develops PiKopi, an integrated coffee sorting monitoring system with a web dashboard for visualization and data-driven decision making. The system integrates three main components: (1) a defect detection module based on Convolutional Neural Network (CNN) on Raspberry Pi edge computing devices for real-time identification, (2) a RESTful API backend based on Flask with PostgreSQL database for classification data management, and (3) a responsive web dashboard based on React.js for real-time data visualization. The API-driven architecture separates frontend and backend, enabling monitoring access from various devices without application installation. The dashboard displays real-time sorting statistics, quality distribution charts, batch history, and activity logs with a user-friendly interface. The CNN model achieves detection accuracy of 92% with balanced sensitivity and specificity. Functional testing results demonstrate that the system successfully performs automated classification and presents real-time sorting data to users. This system facilitates data-driven decision making, improves product quality consistency, and reduces reliance on manual visual inspection for coffee SMEs. Keywords: web dashboard; real-time monitoring; post-roast coffee sorting; quality control; API-driven architecture;
Co-Authors Ahmad Farrell Raafii Alaiyya Al-Attas Anggi Mardiyono Anifatul Faricha Aqim Try Kurnia Arda Dwiyana Arni Diana Fitri Baracahya Panata Cendikia Rahayu Daryn Ramadhani Az Zahra Dodik Ariyanto Faldiena Marcelita Fami, Amata Gema Parasti Mindara Gesit Tri Nugroho Gilang Ayuningtyas Hafiz Agi Alfasih Ivan De NeroI Keinanjung Ruswandi Khairunnissa Zahran Ansyafa Lutfi Aziz Febrika Ardy Mahatmadi Ariq Mayangkara Mega Romadhona Mohammad Iqsan Syachranie Muhamad Al Habsy Muhammad Fakhri Alauddin Muhammad Rafid Habibi Tambunan Muhammad Rizky Caesar Nanda Octavia Nanda, Muhammad Achirul Nur Aziezah Nurul Ulfa Ashilah Nurulhaq, Muhammad Iqbal Pradeka Brilyan Purwandoko Pria Sembada Priyambodo, Danang Rismen Sinambela Sholihah, Walidatush Sofiyanti Indirasari Sofiyanti Indriasari Stephen Nathaniel Tera Fit Rayani Wafi Hawali Yana Nurrohman Yudawan Aditama Yuni Resti