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All Journal Jurnal Teknoin Jurnal Teknik Kimia USU Jurnal Simetris Telematika : Jurnal Informatika dan Teknologi Informasi OPSI Dharmakarya : Jurnal Aplikasi Ipteks Untuk Masyarakat Setrum : Sistem Kendali-Tenaga-elektronika-telekomunikasi-komputer Jurnal Informatika dan Teknik Elektro Terapan JUPITER (Jurnal Pendidikan Teknik Elektro) Journal of Electrical Technology UMY Jurnal Gizi Klinik Indonesia Communications in Science and Technology JURNAL KAJIAN TEKNIK ELEKTRO JMM (Jurnal Masyarakat Mandiri) INAQUE: Journal of Industrial & Quality Engineering Journal of Appropriate Technology for Community Services Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Prosiding Seminar Nasional Multidisiplin Ilmu Jurnal Pengabdian Dharma Bakti Respati Jurnal Teknik Elektro Uniba (JTE Uniba) Indonesian Applied Physics Letters Charity : Jurnal Pengabdian Masyarakat Journal mechanical and manufacture technology (JMMT) Jurnal Rekayasa Elektro Sriwijaya Jurnal Teknik Kimia USU ETAM: Jurnal Pengabdian kepada Masyarakat Electrician : Jurnal Rekayasa dan Teknologi Elektro Jurnal Fokus Elektroda (Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Jurnal Litek : Jurnal Listrik Telekomunikasi Elektronika Berkala Penelitian Teknologi Kulit, Sepatu, dan Produk Kulit
Listyalina, Latifah
Program Studi Teknologi Pengolahan Karet Dan Plastik, Politeknik Negeri ATK Yogyakarta, Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Pengaruh Waktu Iradiasi Ultrasonik dengan Aktivasi Kalium Hidroksida terhadap Sifat Fisis Karbon Aktif dari Serbuk Karet End Life Tire Arifin, Uma Fadzilia; Adetya, Nais Pinta; Pambudi, Wisnu; Listyalina, Latifah; Ratnaningsih, Wahyu
Jurnal Teknik Kimia USU Vol. 13 No. 2 (2024): Jurnal Teknik Kimia USU
Publisher : Talenta Publisher (Universitas Sumatera Utara)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jtk.v13i2.15549

Abstract

Processing End Life Tire (ELT) rubber powder into activated carbon is an alternative for handling tire waste. One way to improve physical properties such as proximate characteristics, surface area and pore diameter of activated carbon is through chemical activation assisted by ultrasonic irradiation. This research aims to determine the effect of ultrasonic irradiation time with potassium hydroxide (KOH) activation on the quality of ELT rubber activated carbon. Activated carbon was synthesized and activated using 30% KOH at various ultrasonic irradiation times, namely 0 minutes, 15 minutes, 30 minutes, 45 minutes and 60 minutes. Based on the characterization results, activated carbon with an ultrasonic irradiation time of 30 minutes is the active carbon that has the most superior properties. The proximate characteristics of activated carbon meet the active carbon quality requirements of SNI 06–3730–1995 and have the highest surface area, namely 401.11 m2/g and pore diameter of 2.1652 nm, which is included in the mesoporous structure category so that it has the potential to be applied as an adsorbent for heavy metals from contaminated fluid.
Pengaruh Waktu Iradiasi Ultrasonik dengan Aktivasi Kalium Hidroksida terhadap Sifat Fisis Karbon Aktif dari Serbuk Karet End Life Tire Arifin, Uma Fadzilia; Adetya, Nais Pinta; Pambudi, Wisnu; Listyalina, Latifah; Ratnaningsih, Wahyu
Jurnal Teknik Kimia USU Vol. 13 No. 2 (2024): Jurnal Teknik Kimia USU
Publisher : Talenta Publisher (Universitas Sumatera Utara)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jtk.v13i2.15549

Abstract

Processing End Life Tire (ELT) rubber powder into activated carbon is an alternative for handling tire waste. One way to improve physical properties such as proximate characteristics, surface area and pore diameter of activated carbon is through chemical activation assisted by ultrasonic irradiation. This research aims to determine the effect of ultrasonic irradiation time with potassium hydroxide (KOH) activation on the quality of ELT rubber activated carbon. Activated carbon was synthesized and activated using 30% KOH at various ultrasonic irradiation times, namely 0 minutes, 15 minutes, 30 minutes, 45 minutes and 60 minutes. Based on the characterization results, activated carbon with an ultrasonic irradiation time of 30 minutes is the active carbon that has the most superior properties. The proximate characteristics of activated carbon meet the active carbon quality requirements of SNI 06–3730–1995 and have the highest surface area, namely 401.11 m2/g and pore diameter of 2.1652 nm, which is included in the mesoporous structure category so that it has the potential to be applied as an adsorbent for heavy metals from contaminated fluid.
The Application of Artificial Intelligence in Waste Classification as an Effort In Plastic Waste Management Listyalina, Latifah; Utami, Ratri Retno; Arifin, Uma Fadzilia; Putri, Naimah
Telematika Vol 21, No 1 (2024): Edisi Februari 2024
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v21i1.11977

Abstract

Purpose: Sorting waste before it is deposited in the Final Disposal Site (TPA) is crucial to reduce the increasing amount of waste accumulation each year. This issue can be addressed by implementing machines capable of automatically sorting waste.Design/methodology/approach: This research is quantitative and utilizes secondary data, namely image data of various types of waste. The images will be classified into organic and inorganic waste using a deep learning model. The measurement conducted involves assessing the accuracy of the designed deep learning model in classifying waste images into appropriate categories.Fondings/results: Based on the available dataset, waste identification will be performed, including food waste, paper, wood, leaves, electronic waste, metal, plastic, and bottles. The overall accuracy of the model is 94.42%, indicating that the model correctly classifies 94.42% of waste samples.Originality/value/state of the art: This research can classify 8 types of waste classes successfully using deep learning.
Identifying Types of Waste as Efforts in Plastic Waste Management Based on Deep Learning Buyung, Irawadi; Munir, Agus Qomaruddin; Wijaya, Nurhadi; Listyalina, Latifah
Telematika Vol 20, No 3 (2023): Edisi Oktober 2023
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v20i3.10804

Abstract

Purpose: This research aims at designing a computer algorithm for automatic waste sorting.Design/methodology/apprach: This research is quantitative and uses secondary data, specifically images of various types of waste. The images will be classified into organic and inorganic waste types with the assistance of a deep learning model. In this research, we propose the EfficientNet method for Waste Type Identification as an Effort in Plastic Waste Management. Experiments were conducted on a secondary dataset from Kaggle.com, which involved classifying various types of waste into 'Plastic' and 'Non-Plastic' categories, showing the effectiveness of the proposed method.Findings/result: The measurement is performed to compute the accuracy of the designed deep learning model in classifying waste images into the appropriate waste types. Based on the research results, our system achieved the highest accuracy of 97% during testing.Originality/value/state of the art: The designed method can perform fast and automatic waste sorting, which is useful in reducing the increasing amount of waste accumulating each year. 
Automated localisation of optic disc in retinal colour fundus image for assisting in the diagnosis of glaucoma Listyalina, Latifah; Nugroho, Hanung Adi; Wibirama, Sunu; Oktoeberza, Widhia KZ
Communications in Science and Technology Vol 2 No 1 (2017)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21924/cst.2.1.2017.43

Abstract

Optic disc (OD), especially its diameter together with optic cup diameter can be used as a feature to diagnose glaucoma. This study contains two main steps for optic disc localisation, i.e. OD centre point detection and OD diameter determination.  Centre point of OD is obtained by finding brightness pixel value based on average filtering.  After that, OD diameter is measured from the detected optic disc boundary.  The proposed scheme is validated on 30 healthy and glaucoma retinal fundus images from HRF database.  The results are compared to the ground truth images.  The proposed scheme obtains evaluation result (E) for healthy and glaucoma images is 0.23 and 0.21, respectively.  These results indicate successful implementation of automated OD localisation by detecting OD centre point and determining OD diameter.
Penerapan Alat Penerangan dengan Memanfaatkan Teknologi Solar Cell di Taman Giwangan, Yogyakarta Listyalina, Latifah; Buyung, Irawadi; Munir, Agus Qomaruddin; Sabdullah, Mursid; Ratnaningsih, Wahyu
Jurnal ETAM Vol. 4 No. 1 (2024): FEBRUARY
Publisher : Politeknik Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46964/etam.v4i1.613

Abstract

Melaksanakan kegiatan pengabdian masyarakat bagi tenaga pengajar merupakan salah satu upaya untuk melaksanakan tugas sebagai pelaksanaan tridarma perguruan tinggi. Selain itu, dalam bidang teknologi, energi yang terbarukan mempunyai peran yang sangat penting dalam memenuhi kebutuhan energi. Salah satunya ialah energi listrik yang menjadi energi vital dalam kehidupan sehari-hari. Pada saat ini, penggunaan lampu didukung dengan tersedianya berbagai lampu hemat energi di mana terdapat sistem pada lampu tersebut akan mengkonversikan cahaya matahari menjadi tenaga listrik. Dari teknologi di atas, telah dilakukan kegiatan pengabdian di salah satu pemukiman warga di Giwangan, Yogyakarta, yaitu aplikasi lampu penerangan untuk jalan taman di Giwangan Yogyakarta berbasis solar panel. Tujuan pengabdian ini adalah memberikan bekal pengetahuan kepada masyarakat mengenai sistem lampu penerangan menggunakan tenaga surya. Pengabdian ini dilakukan dengan beberapa tahap seperti sosialisasi energi terbarukan dan teknologi penerangan jalan, konsultasi area pemasangan lampu, pemasangan lampu bertenaga surya, dan peninjauan kembali apakah telah bisa digunakan sesuai yang diharapkan. Kegiatan pengabdian aplikasi lampu solar sel telah selesai dilakukan sesuai metode yang dipaparkan
Peningkatan Ekonomi Rumah Tangga melalui Pembuatan Sabun Cair dari Minyak Goreng Bekas Ratnaningsih, Wahyu; Dwi Wibowo, Midarto; Bagus Seno Wulung, Raden; Suwarno, Yuli; Saputra, Andri; Satwikanitya, Pani; Sarisky Dwi Ellianto, Mario; Listyalina, Latifah
Jurnal ETAM Vol. 4 No. 2 (2024): JUNE
Publisher : Politeknik Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46964/etam.v4i2.637

Abstract

Sabun cair merupakan kebutuhan rumah tangga yang digunakan dalam kehidupan sehari-hari seperti mencuci tangan dan mencuci peralatan dapur. Di samping itu sabun cair dapat dibuat dari minyak goreng bekas, sedangkan minyak goreng bekas jika dibuang ke lingkungan secara langsung akan mencemari lingkungan. Kegiatan pengabdian masyarakat ini bertujuan agar para akademisi dapat turut serta untuk meningkatkan perekonomian rumah tangga melalui pembuatan sabun cair dari minyak goreng bekas. Metode kegiatan ini antara lain dengan memberikan materi, diskusi, pelatihan, dan analisis kelayakan usaha oleh 4 instruktur kepada 30 peserta. Hasil kegiatan ini berupa pengetahuan dan keterampilan masyarakat dalam melakukan pembuatan sabun cair dari minyak goreng bekas serta analisis ekonominya. Hasil evaluasi menunjukkan bahwa terjadi peningkatan nilai keterserapan materi yang disampaikan dari 47,78 menjadi 94,17. Analisis aspek ekonomi menunjukkan bahwa harga jual yang ditawarkan untuk 1 botol sabun cair yaitu Rp 5000 pada saat promosi dan Rp 6000 pada keadaan normal dengan margin keuntungan sebesar 30 %. Usaha pembuatan sabun cuci ini harus menjual 128 buah botol sabun 250 ml untuk mendapat titik impas.
Implementasi Deteksi Tepi Iris Mata pada Citra Mata Normal dan Kolesterol Rahmawati Eba Rian; Evrita Lusiana Utari; Latifah Listyalina
Jurnal Teknik Elektro Uniba (JTE UNIBA) Vol. 9 No. 1 (2024): JTE UNIBA (Jurnal Teknik Elektro Uniba)
Publisher : Lembaga Penelitian Universitas Balikpapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36277/jteuniba.v9i1.301

Abstract

Deteksi tepi bertujuan untuk menyoroti bagian-bagian penting dalam citra dan memperbaiki detail yang kabur karena kerusakan atau efek akuisisi data. Sebagian besar informasi penting dalam citra berada pada batas antara dua wilayah yang berbeda. Dalam citra medis, deteksi tepi berfungsi untuk menandai detail penting, seperti kontur organ, jaringan, atau struktur lainnya yang relevan. Ini sangat penting karena informasi berharga sering ditemukan pada perbatasan antara dua area yang berbeda, seperti antara tumor dan jaringan sehat atau antara berbagai lapisan organ. Proyek akhir ini menggunakan antarmuka pengguna grafis (GUI) dan menerapkan metode Prewitt dan Canny. Pengambilan gambar mata dilakukan dengan kamera Webcam dan diproses pada tahap preprocessing dengan mengubah gambar menjadi tampilan grayscale serta menggunakan dua metode tersebut, yaitu "Prewitt" dan "Canny". Kesimpulannya, metode Canny memberikan hasil deteksi tepi terbaik karena menghasilkan morfologi garis yang lebih baik terlihat pada tepi gambar. Garis-garis vertikal dan horizontal pada bagian depan objek juga tampak lebih jelas dibandingkan dengan metode lainnya
The Application of Artificial Intelligence in Waste Classification as an Effort In Plastic Waste Management Listyalina, Latifah; Utami, Ratri Retno; Arifin, Uma Fadzilia; Putri, Naimah
Telematika Vol 21 No 1 (2024): Edisi Pertama 2024
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v21i1.11977

Abstract

Purpose: Sorting waste before it is deposited in the Final Disposal Site (TPA) is crucial to reduce the increasing amount of waste accumulation each year. This issue can be addressed by implementing machines capable of automatically sorting waste.Design/methodology/approach: This research is quantitative and utilizes secondary data, namely image data of various types of waste. The images will be classified into organic and inorganic waste using a deep learning model. The measurement conducted involves assessing the accuracy of the designed deep learning model in classifying waste images into appropriate categories.Fondings/results: Based on the available dataset, waste identification will be performed, including food waste, paper, wood, leaves, electronic waste, metal, plastic, and bottles. The overall accuracy of the model is 94.42%, indicating that the model correctly classifies 94.42% of waste samples.Originality/value/state of the art: This research can classify 8 types of waste classes successfully using deep learning.
Rubber Leaf Image Classification Using Artificial Intelligence Methods as an Effort to Improve Plantation Production Results Buyung, Irawadi; Utari, Evrita Lusiana; Mustiadi, Ikhwan; Winardi, Sugeng; Ariyanto, Ipan; Listyalina, Latifah
Telematika Vol 21 No 3 (2024): Edisi Oktober 2024
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v21i2.13587

Abstract

Purpose: Rubber is one of the plantation commodities that contributes positively to the trade surplus in the agricultural sector. Seeing the positive trend in global rubber consumption and production, demand is expected to continue increasing in the future. To enhance rubber productivity, rubber processing technology can be used to make it more efficient, thus increasing the amount of latex extracted from the sap and reducing waste materialDesign/methodology/approach: One technology that can be developed to increase the productivity efficiency of rubber plants is by using Artificial Intelligence. This technology is expected to be implemented in the rubber plantation sector, specifically in the automatic recognition of rubber leaves.Findings/result: The measurement and performance analysis of the rubber leaf image classification algorithm based on Artificial Intelligence has also been evaluated, showing near-perfect accuracy on training data (99.86%) and very good performance on validation data (97.43%), with a very low validation loss (0.0873), indicating that the model has learned well by the last epochOriginality/value/state of the art: The population in this study consists of image data from various tree leaves, including 10 types of rubber leaves and non-rubber leaves 
Co-Authors Adetya, Nais Pinta Adjie Wibowo Soedjono Agus Qomaruddin Munir Andri Saputra Andri Saputra Arief Mamoer Riawan Ariyanto, Ipan Azmi, Desvika Arnila Bagus Seno Wulung, Raden Chandra, Hekin Irfan Desty Ervira Puspaningtyas Dharmawan, Dhimas Arief Dhimas Arief Dharmawan Diana Ndun Diana Ross Arief Dwi Wibowo, Midarto Eka Dharma Yana Eka Legya Eko Susilo Ellianto, Mario Sariski Dwi Engelbertus, Yustinus Ernawati Ernawati Evrita Lusiana Utari Evrita Lusiana Utari Evrita Lusiana Utari Evrita Lusiana Utari Evrita Lusiana Utari, Evrita Lusiana Fauzi Ashari Hanung Adi Nugroho Herison Surbakti Ikhwan Mustiadi Irawadi Buyung Irawadi Buyung, Irawadi Kusuma Mayasari Mario Sariski Dwi Ellianto Mario Sarisky Dwi Ellianto Mario Sarisky Dwi Ellianto Mario Sarisky Dwi Ellianto Midarto Dwi Wibowo Midarto Dwi Wibowo Mochammad Charis Hidayahtullah Muh. Wahyu Syabani Muhammad Fernadi Lukman Muhammad Ikhwan Naimah Putri Novi Irawati Nurwijayanti Oktoeberza, Widhia KZ Pambudi, Wisnu Pani Satwikanitya Pani Satwikanitya Putrama, Fala Rahmawati Eba Rian Ratnaningsih, Wahyu Ratri Retno Utami Ratri Retno Utami Restiana Anggraeni RR. Ella Evrita Hestiandari Sabdullah, Mursid Sarisky Dwi Ellianto, Mario Sarisky, Mario Satwikanitya, Pani Sugeng Winardi Sugiyanto Suharyanto Sunardi Sunu Wibirama Suwarno, Yuli Syahbani, Muhammad Wahyu Uma Fadzilia Arifin Uma Fadzilia Arifin Uma Fadzilia Arifin, Uma Fadzilia Utarianingrum, Ratna Wahyu Ratnaningsih Wahyu Ratnaningsih Wahyu Ratnaningsih Wahyu Ratnaningsih Wijaya, Nurhadi Wisnu Pambudi Wizando, Mario Warran Yuafni Yudianingsih Yudianingsih Yudianingsih Yudianingsih Yudianingsih, Yudianingsih