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All Journal Jurnal Ilmu Komputer dan Agri-Informatika Jurnal Ilmiah Kursor Prosiding SNATIKA Vol 01 (2011) Agrokreatif Jurnal Ilmiah Pengabdian kepada Masyarakat Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Supply Chain Management QARDHUL HASAN: MEDIA PENGABDIAN KEPADA MASYARAKAT Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika EKOLOGIA : Jurnal Ilmiah Ilmu Dasar dan Lingkungan Hidup CCIT (Creative Communication and Innovative Technology) Journal Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming JISA (Jurnal Informatika dan Sains) Charity : Jurnal Pengabdian Masyarakat International Journal of Business, Economics, and Social Development International Journal of Research in Community Services Operations Research: International Conference Series International Journal of Global Operations Research International Journal of Quantitative Research and Modeling International Journal of Ethno-Sciences and Education Research
Eneng Tita Tosida
Universitas Pakuan
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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Visualisasi Traffic Light Dengan Model Matriks Identitas Menggunakan Macromedia Flash 8 (Studi Kasus Di Jalan Raya Pertigaan Gunung Putri ) Tosida, Eneng Tita
Prosiding SNATIKA Vol 01 (2011) Vol 1
Publisher : Prosiding SNATIKA Vol 01 (2011)

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Abstract

  Abstrak   Pemodelan merupakan alat tiruan dari sistem real yang dapat memberikan gambaran analisis masalah sehingga dapat ditemukan solusi penyelesaiannya.  Pemodelan dan visualisasi digunakan sebagai alat uji coba sebuah sistem agar diketahui manfaat dan kekurangan dari sebuah sistem yang akan diterapkan. Dengan adanya pemodelan dan visualisasi masalah dapat direncanakan penyelesaian dengan resiko yang relatif lebih ringan. Penggunaan pemodelan dan visualisasi antara lain adalah pengaturan lampu lalu lintas (traffic light). Perencanaan pengaturan lampu lalu lintas ini dapat dikembangkan melalui pemodelan dan visualisasi yang telah ditentukan untuk menganalisis dan memberikan solusi permasalahannya. Pemodelan dan visualisasi traffic light memanfaatkan model matriks identitas, dengan studi kasus di jalan raya pertigaan Gunung Putri menggunakan Macromedia Flash 8. Tampilan visualisasi berbentuk pemetaan pengaturan lampu lalu lintas pada titik tertentu yang rawan kemacetan. Sistem yang dibangun memiliki form utama, yang secara umum dibagi menjadi beberapa bagian yaitu navigasi, timer, animasi objek, analisis matriks identitas, dan sebagainya. Semua bagian tersebut merupakan antarmuka yang memberikan kemudahan kepada user dalam pengoperasiannya.   Keyword : Pemodelan, visualisasi, traffic light, matriks identitas, timer.
PENGUATAN KEBERLANJUTAN DAN PENCITRAAN KEARIFAN LOKALKOLABORASI EDU-EKO WISATA Tosida, Eneng Tita; Walujo, Agung Djati; Suriyansyah, Mohamad Iqbal
QARDHUL HASAN: MEDIA PENGABDIAN KEPADA MASYARAKAT Vol 3, No 2 (2017): OCTOBER
Publisher : Universitas Djuanda Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (802.969 KB) | DOI: 10.30997/qh.v3i2.947

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SUSTAINABILITY AND IMAGING OF LOCAL WISDOM STRENGTHENING : COLLABORATION OF ECO-EDU TOURISMABSTRACT Situ Gede natural tourism Bogor is well known as one tourist destination that is quite crowded by tourists. Crowded tourist arrivals have not been able to contribute to socio-economic improvement for the surrounding community. Tourists tend to come at a glance just to enjoy the coolness of the atmosphere, and seem monotonous. Whereas Situ Gede has the potential and tourism assets are quite complete, especially when associated with local wisdom as a tourist attraction. Tourism assets include various aspects, including economic aspects (unique products-typical home industry), biology (unique habitat), culture (culinary, arts) and aspects of history and geology. The community has not been able to explore, create, collaborate, present, integrate and promote these potential assets into innovative-creative tourism packages. Therefore it is necessary for empowerment activities to strengthen sustainability, and to imitate local wisdom into collaboration of eco-edu tourism Situ Gede. These objectives can be achieved by providing training for activities partners through: Asset Inventory Training, Travel Tour Creation, Media Promotion Creation Training and Digital Information Media Management, Facilitation of Media Promotion Incentive, Local Wisdom Collaboration into Educational Tour to Support Learning Program Thematic Integrated Curriculum 2013 based on Multi Media, and Action Proposal Training.Keywords: Eco-edu tourism,Local wisdom,Sustainability, Tourism. ABSTRAK Wisata alam Situ Gede Bogor sudah terkenal sebagai salah satu destinasi wisata yang cukup ramai dikunjungi oleh wisatawan. Ramainya kunjungan wisatawan belum mampu memberikan kontribusi peningkatan sosial ekonomi bagi masyarakat sekitar.Wisatawan cenderung datang sepintas lalu hanya untuk menikmati kesejukan suasana, dan terkesan monoton.Padahal Situ Gede memiliki potensi dan aset wisata yang cukup lengkap, apalagi bila dikaitkan dengan kearifan lokal sebagai daya tarik wisata. Aset wisata yang dimaksud mencakup berbagai aspek, diantaranya aspek ekonomi (produk  unik-khas industri rumahan), biologi(habitat unik khas), budaya (kuliner, kesenian) maupun aspek sejarah dan geologi. Masyarakat belum mampu menggali, mengkreasi, meng-kolaborasi, mempresentasi, meng-integrasi dan promosi aset potensial tersebut menjadi paket wisata yang inovatif-kreatif. Oleh karena itu perlu kegiatan IbM yang mampu menguatkan keberlanjutan, dan mencitrakan kearifan lokal menjadi kolaborasi Eko-Edu Wisata Situ Gede. Tujuan tersebut dapat dicapai diantaranya dengan memberi pelatihan bagi mitra IbM melalui kegiatan Pelatihan Inventarisasi Aset Wisata, Kreasi Paket Wisata, Pelatihan Penciptaan Media Promosi dan Pengelolaan Media Informasi Digital (Web), Fasilitasi Insentif Media Promosi, Kolaborasi Kearifan Lokal menjadi Wisata Edukasi untuk mendukung Program Pembelajaran Tematik Terpadu Kurikulum 2013 berbasis Multi Media, Pelatihan Proposal Aksi dan Agenda Eko-Edu Wisata, serta Fasilitasi Kerjasama dengan instansi terkait. 
SISTEM INFORMASI ON-LINE SEBAGAI MEDIA PROMOSI POTENSI “KAMPUNG WISATA HOME INDUSTRY’’ CIKARET KECAMATAN BOGOR SELATAN Tosida, Eneng Tita; Harsani, Prihastuti; Andria, ferdi
KOMPUTASI Vol 9, No 1 (2012): Komputasi
Publisher : KOMPUTASI

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Abstract

Kompepar merupakan salah satu model pemberdayaan masyarakat yang telah diterapkan di Kelurahan Cikaret Bogor Selatan dalam promosi dan pengelolaan potensi wisata, namun dalam operasionalnya belum berjalan secara optimal. Salah satu penyebabnya adalah belum tersedianya media sosialisasi dan promosi yang efektif. Oleh karena itu perlu dibangun Sistem Promosi On-Line yang mampu memberikan informasi yang interaktif mengenai potensi wisata di Cikaret, yang didukung oleh pemberdayaan kompepar kan KIM Bogor Selatan selaku pengguna sekaligus pengelola sistem on-line tersebut melalui kegiatan pelatihan penglolaan sistem. Pembangunan Sistem On-Line dilakukan dengan metode System Development Life Cycle (SDLC) dan metode pelatihan menggabungkan antara tutorial dan praktek disertai dengan evaluasi dan pendampingan yang berjenjang. Keberhasilan pemberdayaan Kompepar dan KIM Bogor Selatan dalam Upaya pengembangan potensi wisata home industri tidak akan terlepas dari sinergi antar dinas dan pihak yang terkait langsung (stakeholders), baik dalam han perbaikan infrastruktur, pembangunan fasilitas umum, maupun kebijakan yang mampu mendukung dan meningkatkan kemampuan Kompepar dalam berkreasi menciptakan kemasan paket wisata yang menarik dan mampu divisualisasikan dalam sistem on-line.
PEMODELAN SISTEM PEWARISAN GEN MANUSIA BERDASARKAN HUKUM MENDEL DENGAN ALGORITMA BRANCH AND BOUND Tosida, Eneng Tita; Utami, Dian Kartika
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Publisher : Fakultas Matematika dan ilmu pengetahuan Alam. Universitas Pakuan.

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Perkembangan teknologi informatika saat ini telah melintasi berbagai bidang dan salah satunya adalah dimanfaatkan untuk memodelkan kondisi biologis manusia melalui ilmu genetika. Prinsip tentang gen dan pewarisan sifat yang dikukuhkan dalam Hukum Mendel dapat dimodelkan dengan Algoritma Branch and Bound melalui penggunaan Bahasa Pemrograman Visual Basic 5. Model sistem yang dibangun melalui pendekatan System Development Life Cycle ini dimaksudkan untuk memudahkan proses pewarisan gen dan penggenerasian, dengan visualisasi berupa diagram pohon dan grafik yang menunjukkan peluang pewarisan gen.  Berbagai istilah yang umum digunakan dalam sistem pewarisan gen pada manusia juga diinformasikan dalam model sistem ini dan dikemas dalam bentuk kamus data, sehingga memudahkan pengguna dalam pemanfaatan model ini. Keyword :   Model,   Gen,   Hukum   Mendel,   Algoritma    Branch   and   Bound,   System Development Life Cycle
OPTIMIZING THE CLASSIFICATION ASSISTANCE THROUGH SUPPLY CHAIN MANAGEMENT FOR TELEMATICS SMES IN INDONESIA USING DEEP LEARNING APPROACH Tosida, Eneng Tita; Wahyudin, Irfan; Andria, Fredi; Wihartiko, Fajar Delli; Hoerudin, Andi
International Journal of Supply Chain Management Vol 9, No 3 (2020): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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This study aims to optimize the classification process of providing assistance to Indonesian Telematics Small and Medium Enterprises (SMEs) using a deep learning approach. The data used is the 2016 Economic Census data. The research was conducted comprehensively through the process of comparing performance through several approaches. Deep learning performance shows an optimal accuracy rate of 99.03%, higher than other approaches of the Adaboost and Adaboos-Bagging Ensemble (92.0%), LVQ (93.11%) and Backpropagation (89.1%). The deep learning approach still has shortcomings in terms of tracing attributes that affect the provision of assistance. Unlike the case with an ensemble approach that is able to display priority attributes, and these results are also validated with relevant research results. Research development opportunities can be done through the integration of EXPLAIN and IME models in the deep learning model, making it easier for stakeholders to prioritize attributes that affect the delivery of telematics SMEs. This is expected to encourage the improvement of SMEs competitiveness in facing the challenges of the Industrial Revolution 4.0.
DIAGNOSTIC SYSTEM OF DERMATITIS BASED ON FUZZY LOGIC USING MATLAB 7.0 Eneng Tita Tosida; Sri Setyaningsih; Agus Sunarya
CCIT Journal Vol 4 No 1 (2010): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (331.032 KB) | DOI: 10.33050/ccit.v4i1.356

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This paper describes a fuzzy approach to computer-aided medical diagnosis in a clinical context for dermatitis. This research will use Mamdani fuzzy inference system for determining Dermatitis risk level. The Diagnostic system of Dermatitis based on Fuzzy logic are constructed with seven indication variables. These variables have different intervals and used for determining status of domains in membership function of variables. Knowledge base in this system is constructed by production rules (IF-THEN). Fire Strength are obtained in each fuzzy rules base for each type of Dermatitis, then composite by using Max-Min method. The final result is an output namely the risk Dermatitis level.
Pemberdayaan Kelompok Penggerak Pariwisata (Kompepar) dalam Pengembangan Potensi Wisata Bogor Selatan Eneng Tita Tosida; Indra Gunawan; Fredi Andria
Agrokreatif: Jurnal Ilmiah Pengabdian kepada Masyarakat Vol. 1 No. 2 (2015): Agrokreatif Jurnal Ilmiah Pengabdian kepada Masyarakat
Publisher : Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/agrokreatif.1.2.110-120

Abstract

Tourism potential in South Bogor spreads in several villages, including the Pamoyanan, Empang, and Cikaret Village. Kompepar is driving tourism groups that take part in the management of tourism in South Bogor. The tourism in the area has not been fully managed due to the ability of tourism management still minimal. Therefore it is necessary to empowering Kompepar through training identification of potential tourism travel, tour packaging, and making proposals for procurement activities/tour supporting infrastructure. Models of activities carried out by training, mentoring, and on going monitoring, through tutorials, discussion, lab (field surveys and interviews) as well as presentations. The training divided in to three steps, with the strategy implemented in door training (in class) and mobile partners to target areas. The results show the training participants are able to make an identification of potential training products such as travel, tour packages, and a simple proposal. The quality of training results have not shown good results. This constrained the ability of the participants were minimal basis for knowledge about and some of the participants have not mastered basic computer. Therefore the process of assisting and monitoring is done continuously and in parallel, for each group is accompanied by one or two instructors. Empowerment followed by media online optimization via engagement KIM South Bogor, by way of training and mentoring to load the identification of potential sites and travel packages to www.wisatabogorselatan.com. Empowerment comes with mentoring and facilitating Kompepar in propose the proposals to the relevant stakeholders.
ATTRIBUTE SELECTION F INDONESIAN TELEMATIC SERVICES MSMEs FEASIBILITY ASSISTANCE, USING AHP Eneng Tita Tosida; Kudang Boro Seminar; Yeni Herdiyeni
Jurnal Ilmiah Kursor Vol 8 No 2 (2015)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28961/kursor.v8i2.67

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The assistance program had not absorbed optimally yet for telematics Micro Small Medium Enterprises (MSMEs). One of the reasons was the data of telematics MSME which still separated in the several institutions. This research aimed to selection of assistance feasibility attributes using Analytical Hierarchy Process (AHP) based on National Socio-Economic Survey (Susenas) data. This data attributes conformed to the criteria of assistance feasibility which was implemented among by Ministry of Cooperative, Small and Medium Enterprises (SMEs), and related institutions. The attributes involved the characteristic of technology, economics, human resources, partnerships, obstacles, prospect and other common conditions. The process of data preparation was needed involving cleaning, discretization, description and transformation of data. The AHP technique aimed to produce rankings and the value of attributes. The finding of this research showed that start-up essence and technology factors became the crucial attributes in the feasibility assessment. The other factors were the economy, human resources, partnerships and development planning. The findings of this research had given the new innovations; in addition of the scope of related substance Telematics Service MSMEs which was still studied limitedly, and the selection technique of assessment feasibility attributes based on Susenas data.
Potential classification of Smart Village – Smart Economy with Deep Learning methods Runanto Runanto; Muhammad Fahmi Mislahudin; Fauzan Azmi Alfiansyah; Maudy Khairunnisa Maisun Taqiyyah; Eneng Tita Tosida
International Journal of Quantitative Research and Modeling Vol 2, No 3 (2021)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v2i3.147

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Development gap in the city and village is still happening on Indonesia. It happened because of the massive urbanization factors. Poverty in the Indonesian villages are relatively higher than on the urbans. In order to reach the maximal city development, Ministry of Village, Development of Disadvantaged Regions and Transmigration of Indonesia created a sustainable village development program namely Village’s Sustainable Development Goals (SDGs) and optimized the village potential data. This study aimed to design the smart village – smart economy classification system by using deep learning methods on village potential data on Indonesia at 2020. The method used in this study is data mining processes namely KDD (Knowledge Discovery and Data mining). The result in this study showed the best models were obtained which consisting of 2 hidden layers and each layer is 128, 128 layers which using target class from the process of calculating the score is able to reach 94.93% of the accuracy from the training process and 96% on the testing process and succeeded to classify the potentials of smart village – smart economy.
Model Manajemen Big Data Komoditas Beras untuk Kebijakan Pangan Nasional Eneng Tita Tosida; Fajar Delli Wihartiko; Irman Hermadi; Yani Nurhadryani; Feriadi
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 1 (2020): Februari 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1108.271 KB) | DOI: 10.29207/resti.v4i1.1520

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Rice is the main commodity in Indonesia, both for consumption and production. Rice production data are available at the Badan Pusat Statistika and at Kementrian Pertanian. The data is used to build a large data management model for Indonesia's rice trade. The model development strategy is done through analyzing agriculture big data analytic that is equipped with descriptive analysis, evaluation, predictive and prescriptive. The models and designs that are built discuss business processes, stakeholder networks and network management. Descriptive analysis results in the form of grouping and visualization of rice data. The results of the diagnostic process using classification approach produce a decision tree to see the results of the level of production in a province. In the predictive process produces a linear regression model to predict the results of the following year's production as well as in the analysis.
Co-Authors Abimanyu Oki Saputra Abimanyu Okysaputra Achmad Noerkhaerin Putra Agung Djati Walujo Agus Sunarya Amelia Rahmi Amelia Rahmi Amelia Rahmi Andhika Bhayangkari Andria, ferdi Anisa Intan Selatan Anisa Intan Selatan Aprido, Eka Aries Maesya Arifah Budiarti Ayasda Rahardian Bambang Sugiharto Baskoro, Arif Dwi Bon, Abdul Thalib Bin Caroko Hutomo Iriantoro Putra Deden Ardiansyah Dentik Karyaningsih Dian Kartika Utami Diki Andika Saputra Dinar Munggaran Achmad Elly Sukmanasa Ema Kurnia Fajar Delli W Fajar Delli Wihartiko Falleryan, Muhammad Fauzan Azmi Alfiansyah Febrian, Muhamad Zidane ferdi Andria Feriadi Feriadi, Feriadi Firdaus, Muhamad Haikal Fredi Andria Gunawan, Azzahra Ditri Hafiz, Syauqi Abyan Hafizi, Muhamad Hairulnizam Mahdin Halimah Tus Sa’diah Hario Bayu Hoerudin, Andi Irfan Wahyudin Irman Hermadi Juanito, Axel Kamel Mahdi Kudang Boro Seminar Lita Karlitasari Lola Jaman Sentosa M Iqbal Suriyansyah Maudy Khairunnisa Maisun Taqiyyah Muhamad Sunarzi Muhamad Sunarzi Muhammad Fahmi Mislahudin Muhammad Ridwan Novi Fajar Utami Nurcahya, Dimas P.S, Axel Juanito Permana, Rizki Prihastuti Harsani Puri Indrawati Rezaghani Rizki Nurfajri Runanto Runanto Saka, Bima Ariya Salih, Yasir Salmah Salmah Salmah Salmah Salmah Salmah Sauri, Ahmad Sopyan Selo Aji Siti Warnasih Soleha Nuramanah Soleha Nuramanah Sri Setyaningsih Subandi, Kotim Sufiatul Maryana Sugara, Victor Ilyas Suriansyah, Mohamad Iqbal Suriyansyah, Mohamad Iqbal Suriyansyah, Mohamad Iqbal Tomi Herdiawan, Tomi Turrohman, Syaifa Utep Utep Walujo, Agung Djati Walujo, Agung Djati Werdaya, Rangga Kusumah Putra Marsha Yani Nurhadryani Yazir, M Sofwan Yuli Wahyuni Yusilawati, Alfadita Dwi